ORCID Profile
0000-0002-5302-3850
Current Organisations
Macquarie University
,
Université Libre de Bruxelles
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Banking, Finance and Investment | Investment and Risk Management | Macroeconomics (incl. Monetary and Fiscal Theory) | Econometric And Statistical Methods | Environment and Resource Economics | Financial Economics | Applied Economics | Environment And Resource Economics | Financial Econometrics | Financial Econometrics
ANZSRC Socio-Economic Objective (SEO)
Economic issues not elsewhere classified | Macroeconomics not elsewhere classified | Energy systems analysis | Environmentally Sustainable Energy Activities not elsewhere classified | Energy distribution not elsewhere classified | Expanding Knowledge in Economics | Economic Framework not elsewhere classified | Finance Services |
Related Links
Publications
A NOTE ON THE IMPACT OF NEWS ON US HOUSEHOLD INFLATION EXPECTATIONS
Publisher: Cambridge University Press (CUP)
Date: 14-11-2018
DOI: 10.1017/S1365100518000482
Abstract: Monthly disaggregated US data from 1978 to 2016 reveal that exposure to news on inflation and monetary policy helps to explain inflation expectations. This remains true when controlling for household personal characteristics, perceptions of government policy effectiveness, expectations of future interest and unemployment rates, and sentiment. We find an asymmetric impact of news on inflation and monetary policy after 1983, with news on rising inflation and easier monetary policy having a stronger effect in comparison to news on lowering inflation and tightening monetary policy. Our results indicate the impact on inflation expectations of monetary policy news manifested through consumer sentiment during the lower bound period.
Risk and return in European property markets: an empirical investigation
Publisher: Emerald
Date: 24-10-2008
DOI: 10.1108/17539260810924418
Abstract: The purpose of this paper is to explore capital gains, income, and total returns in various property markets in Europe. In a comparative study the nature of returns for different commercial and residential properties is investigated. Hereby, total returns, income returns, and capital growth are distinguished. The paper further presents an analysis of the risk‐return relationship of the different markets and investigates the interactions between property markets, other local financial markets, and macroeconomic variables. Focusing on the risk‐return relationship of the different asset classes and countries, the Sharpe ratio is used as a risk‐adjusted performance measure to investigate the European markets. Using a simple linear regression model, a comparison of the European commercial property markets with respect to their returns and risk are provided. Finally, a capital asset pricing model (CAPM) and factor models based on arbitrage pricing theory (APT) are used in an effort to further explain the spreads and risk premiums for in idual property markets. The large differences between the markets regarding spreads, risk premiums, and risk‐return relationships are found. Overall, the Dutch market can be regarded as giving the highest compensation for the risk taken by the investors in the last decade, while the German market performed the worst and was the only market with negative capital growth rates for the considered period. Applying the CAPM, It has also been found total returns in commercial property markets are not significantly related to the performance of stock market indices. On the other hand, factor models using macroeconomic variables are able to explain a higher fraction of property total return spreads over the risk‐free rate in the considered countries. But depending on the country, different macroeconomic variables were estimated to be significant such that there is no single factor model available that could be applied to all European markets. Overall, these findings indicate that classic financial models drawing on existing datasets are unable to satisfactorily explain the performance of property as an asset class. On the other hand, the fact that property office markets yield relatively high returns that exhibit rather low correlations with stock market returns, makes them a very suitable candidate for portfolio ersification. The paper investigates the risk‐return relationship in various European property markets. The large differences between the markets observed also partly explain the ersity of literature results on this relationship across single countries by, e.g. Goetzmann, Englund, or Bourassa et al. By using classic financial models like the CAPM or APT a contribution to the literature is made by explaining the factors that actually determine property returns over the risk free rate in different countries.
Auswirkungen der neuen Basler Eigenkapitalvereinbarung auf die Finanzierung von KMU
Publisher: Duncker & Humblot GmbH
Date: 10-2005
DOI: 10.3790/VJH.74.4.112
The 2021 report of the MJA–Lancet Countdown on health and climate change
Publisher: Wiley
Date: 20-10-2021
DOI: 10.5694/MJA2.51302
The 2022 report of the MJA – Lancet Countdown on health and climate change: Australia unprepared and paying the price
Publisher: Wiley
Date: 25-10-2022
DOI: 10.5694/MJA2.51742
Abstract: The MJA-Lancet Countdown on health and climate change in Australia was established in 2017 and produced its first national assessment in 2018 and annual updates in 2019, 2020 and 2021. It examines five broad domains: climate change impacts, exposures and vulnerability adaptation, planning and resilience for health mitigation actions and health co-benefits economics and finance and public and political engagement. In this, the fifth year of the MJA-Lancet Countdown, we track progress on an extensive suite of indicators across these five domains, accessing and presenting the latest data and further refining and developing our analyses. Within just two years, Australia has experienced two unprecedented national catastrophes - the 2019-2020 summer heatwaves and bushfires and the 2021-2022 torrential rains and flooding. Such events are costing lives and displacing tens of thousands of people. Further, our analysis shows that there are clear signs that Australia's health emergency management capacity substantially decreased in 2021. We find some signs of progress with respect to health and climate change. The states continue to lead the way in health and climate change adaptation planning, with the Victorian plan being published in early 2022. At the national level, we note progress in health and climate change research funding by the National Health and Medical Research Council. We now also see an acceleration in the uptake of electric vehicles and continued uptake of and employment in renewable energy. However, we also find Australia's transition to renewables and zero carbon remains unacceptably slow, and the Australian Government's continuing failure to produce a national climate change and health adaptation plan places the health and lives of Australians at unnecessary risk today, which does not bode well for the future.
Managing risks from climate impacted hazards – The value of investment flexibility under uncertainty
Publisher: Elsevier BV
Date: 08-2018
Volatility spillovers in Australian electricity markets
Publisher: Elsevier BV
Date: 08-2020
An empirical comparison of alternative schemes for combining electricity spot price forecasts
Publisher: Elsevier BV
Date: 11-2014
Climate Change and Extreme Events: Risk Assessment of Adaptation in Sydney
Publisher: Springer Singapore
Date: 2020
The 2019 report of the MJA–Lancet Countdown on health and climate change
Publisher: Wiley
Date: 13-11-2019
DOI: 10.5694/MJA2.50405
Abstract: The MJA-Lancet Countdown on health and climate change was established in 2017 and produced its first Australian national assessment in 2018. It examined 41 indicators across five broad domains: climate change impacts, exposures and vulnerability adaptation, planning and resilience for health mitigation actions and health co-benefits economics and finance and public and political engagement. It found that, overall, Australia is vulnerable to the impacts of climate change on health, and that policy inaction in this regard threatens Australian lives. In this report we present the 2019 update. We track progress on health and climate change in Australia across the same five broad domains and many of the same indicators as in 2018. A number of new indicators are introduced this year, including one focused on wildfire exposure, and another on engagement in health and climate change in the corporate sector. Several of the previously reported indicators are not included this year, either due to their discontinuation by the parent project, the Lancet Countdown, or because insufficient new data were available for us to meaningfully provide an update to the indicator. In a year marked by an Australian federal election in which climate change featured prominently, we find mixed progress on health and climate change in this country. There has been progress in renewable energy generation, including substantial employment increases in this sector. There has also been some progress at state and local government level. However, there continues to be no engagement on health and climate change in the Australian federal Parliament, and Australia performs poorly across many of the indicators in comparison to other developed countries for ex le, it is one of the world's largest net exporters of coal and its electricity generation from low carbon sources is low. We also find significantly increasing exposure of Australians to heatwaves and, in most states and territories, continuing elevated suicide rates at higher temperatures. We conclude that Australia remains at significant risk of declines in health due to climate change, and that substantial and sustained national action is urgently required in order to prevent this.
Electricity markets around the world
Publisher: Elsevier BV
Date: 03-2018
Assessing Uncertainty and Risk in Public Sector Investment Projects
Publisher: Scientific Research Publishing, Inc.
Date: 2011
Addressing risk and uncertainty in property valuations: a viewpoint from Germany
Publisher: Emerald
Date: 09-2006
DOI: 10.1108/14635780610691904
Abstract: The purpose of this paper is to propose and discuss practical approaches on how to address risk and uncertainty within valuation reports, particularly when there is only insufficient comparable transaction evidence available. A four stage approach to property valuation is proposed that can be particularly useful if there is insufficient comparable transaction evidence available: Identifying, measuring and expressing risk by making use of property rating approaches. Transforming risk into risk premia for calculating the yield on a risk free basis by partially making use of models of risk and return usually applied in finance. Simulating risk premia (since there is great deal of uncertainty involved in determining these premia) by making use of a statistical method commonly referred to as Monte Carlo Simulation. Using the derived yield's probability distribution in combination with further probability distributions for other valuation input variables (e.g. market rent) to calculate a range of possible outcomes of Market Value as well as a number of statistical measures that can be indicative of the valuer's perceived uncertainty regarding the valuation assignment. The empirical part shows that due to data limitations determining idiosyncratic risk premia for property assets is not yet possible. This significantly h ers the development of robust yield pricing models and reinforces the need to create databases including information on both in idual property returns and associated building characteristics. The paper postulates that there are few (if any) rational reasons for valuers not to use rating and simulation approaches as an indispensable element of the valuation process. A valuation approach that allows simultaneously addressing risk and uncertainty as well as sustainability issues within commercial property valuation practice is proposed.
Discounting the distant future—Data on Australian discount rates estimated by a stochastic interest rate model
Publisher: Elsevier BV
Date: 04-2017
Carbon pricing and electricity markets — The case of the Australian Clean Energy Bill
Publisher: Elsevier BV
Date: 03-2019
Assessing the impact of battery storage on Australian electricity markets
Publisher: Elsevier BV
Date: 04-2023
Assessing sovereign default risk: A bottom-up approach
Publisher: Elsevier BV
Date: 04-2018
Kochi, India case study of climate adaptation to floods: Ranking local government investment options
Publisher: Elsevier BV
Date: 02-2012
Modeling electricity prices: jump diffusion and regime switching
Publisher: Elsevier BV
Date: 05-2004
The nature of losses from cyber-related events
Publisher: Oxford University Press (OUP)
Date: 2023
Abstract: In this study, we examine the nature of losses from cyber-related events across different risk categories and business sectors. Using a leading industry dataset of cyber events, we evaluate the relationship between the frequency and severity of in idual cyber-related events and the number of affected records. We find that the frequency of reported cyber-related events has substantially increased between 2008 and 2016. Furthermore, the frequency and severity of losses depend on the business sector and type of cyber threat: the most significant cyber loss event categories, by number of events, were related to data breaches and the unauthorized disclosure of data, while cyber extortion, phishing, spoofing, and other social engineering practices showed substantial growth rates. Interestingly, we do not find a distinct pattern between the frequency of events, the loss severity, and the number of affected records as often alluded to in the literature. We also analyse the severity distribution of cyber-related events across all risk categories and business sectors. This analysis reveals that cyber risks are heavy-tailed, i.e. cyber risk events have a higher probability to produce extreme losses than events whose severity follows an exponential distribution. Furthermore, we find that the frequency and severity of cyber-related losses exhibit a very dynamic and time-varying nature.
Conscientiousness and Performance: The Influence of Personality on Investment Decisions
Publisher: With Intelligence LLC
Date: 19-01-2023
Cyber loss model risk translates to premium mispricing and risk sensitivity
Publisher: Springer Science and Business Media LLC
Date: 18-03-2023
DOI: 10.1057/S41288-023-00285-X
Abstract: In this paper we focus on model risk and risk sensitivity when addressing the insurability of cyber risk. The standard statistical approaches to assessment of insurability and potential mispricing are enhanced in several aspects involving consideration of model risk. Model risk can arise from model uncertainty and parameter uncertainty. We demonstrate how to quantify the effect of model risk in this analysis by incorporating various robust estimators for key model parameters that apply in both marginal and joint cyber risk loss process modelling. Through this analysis we are able to address the question that, to the best of our knowledge, no other study has investigated in the context of cyber risk: is model risk present in cyber risk data, and how does is it translate into premium mispricing? We believe our findings should complement existing studies seeking to explore the insurability of cyber losses.
Capital and policy impacts on Australian small-scale solar installations
Publisher: Elsevier BV
Date: 2020
Regional and global contagion in real estate investment trusts
Publisher: Emerald
Date: 02-2013
DOI: 10.1108/14635781311292971
Abstract: The purpose of this paper is to investigate contagion between real estate investment trusts (REITs) within and across three geographical regions: North America, Europe and Asia‐Pacific. The paper also examines excess comovement between the considered national REIT markets on the one hand, and broad equity indices on the other. In particular, the authors are interested in contagion between the considered markets during the 2007‐2009 GFC period in comparison to the entire 2004‐2011 s le period. Using an international factor pricing framework similar to Bekaert, Harvey and Ng, the paper defines contagion as excess comovement between two financial markets, after removing the effects of the underlying economic fundamentals, i.e. risk factors, and time‐changing volatility. Controlling for economic factors is important for distinguishing between pure contagion and information spillovers, which may transmit through existing economic channels. The authors then analyse excess correlations between the derived standardized residuals, for REITS and equity markets in order to investigate excess comovement between the indices during the whole s le and GFC period. The paper finds no evidence of excess comovement between the considered REIT and equity indices during non‐crisis s le intervals. However, the paper finds contagion between several national REITs and regional or global equity markets during the GFC period. The paper reports statistically significant excess correlations between national REITs and regional and world real estate markets during the entire s le period, while there is only limited evidence to suggest that the correlation amongst REIT markets has increased during the GFC period. The paper concludes that a similar degree of dependence persisted among national REIT markets over the crisis and non‐crisis s le periods for most markets. Despite the ongoing debate on contagion in financial markets, there is only a small body of literature investigating contagion specifically for property or real estate markets. This is even more surprising, since the GFC originated from a subprime mortgage crisis and was, therefore, heavily related to real estate. The paper extends the literature by testing for contagion between REITs considering eleven national markets across three geographical regions. In contrast, the existing literature is typically constrained to a significantly smaller number of markets. The paper also explicitly takes into account the impact of the recent GFC, and tests for contagion over this period.
Convenience Yields and Risk Premiums in the EU‐ETS—Evidence from the Kyoto Commitment Period
Publisher: Wiley
Date: 15-04-2016
DOI: 10.1002/FUT.21780
Modeling the price dynamics of CO2 emission allowances
Publisher: Elsevier BV
Date: 2009
CropPol : A dynamic, open and global database on crop pollination
Publisher: Wiley
Date: 17-02-2022
DOI: 10.1002/ECY.3614
Abstract: Seventy five percent of the world's food crops benefit from insect pollination. Hence, there has been increased interest in how global change drivers impact this critical ecosystem service. Because standardized data on crop pollination are rarely available, we are limited in our capacity to understand the variation in pollination benefits to crop yield, as well as to anticipate changes in this service, develop predictions, and inform management actions. Here, we present CropPol, a dynamic, open, and global database on crop pollination. It contains measurements recorded from 202 crop studies, covering 3,394 field observations, 2,552 yield measurements (i.e., berry mass, number of fruits, and fruit density [kg/ha], among others), and 47,752 insect records from 48 commercial crops distributed around the globe. CropPol comprises 32 of the 87 leading global crops and commodities that are pollinator dependent. Malus domestica is the most represented crop (32 studies), followed by Brassica napus (22 studies), Vaccinium corymbosum (13 studies), and Citrullus lanatus (12 studies). The most abundant pollinator guilds recorded are honey bees (34.22% counts), bumblebees (19.19%), flies other than Syrphidae and Bombyliidae (13.18%), other wild bees (13.13%), beetles (10.97%), Syrphidae (4.87%), and Bombyliidae (0.05%). Locations comprise 34 countries distributed among Europe (76 studies), North America (60), Latin America and the Caribbean (29), Asia (20), Oceania (10), and Africa (7). S ling spans three decades and is concentrated on 2001–2005 (21 studies), 2006–2010 (40), 2011–2015 (88), and 2016–2020 (50). This is the most comprehensive open global data set on measurements of crop flower visitors, crop pollinators and pollination to date, and we encourage researchers to add more datasets to this database in the future. This data set is released for non‐commercial use only. Credits should be given to this paper (i.e., proper citation), and the products generated with this database should be shared under the same license terms (CC BY‐NC‐SA).
Wheat leaf rust resistance gene Lr13 is a specific Ne2 allele for hybrid necrosis
Publisher: Elsevier BV
Date: 07-2021
Pollinator size and its consequences: Robust estimates of body size in pollinating insects
Publisher: Wiley
Date: 02-2019
DOI: 10.1002/ECE3.4835
Transforming urban energy systems: The role of local governments’ regional energy master plan
Publisher: Elsevier BV
Date: 05-2019
Actual uptake of home batteries: The key roles of capital and policy
Publisher: Elsevier BV
Date: 04-2021
Establishment of photosynthesis through chloroplast development is controlled by two distinct regulatory phases
Publisher: Oxford University Press (OUP)
Date: 16-06-2018
DOI: 10.1104/PP.17.00435
Style analysis and Value-at-Risk of Asia-focused hedge funds
Publisher: Elsevier BV
Date: 11-2011
Quantifying risk in the electricity business: A RAROC-based approach
Publisher: Elsevier BV
Date: 09-2007
Editorial to the special issue on Applicable semiparametrics of computational statistics
Publisher: Springer Science and Business Media LLC
Date: 09-2015
The MJA–Lancet Countdown on health and climate change: Australian policy inaction threatens lives
Publisher: AMPCo
Date: 29-11-2018
DOI: 10.5694/MJA18.00789
Abstract: Climate plays an important role in human health and it is well established that climate change can have very significant impacts in this regard. In partnership with The Lancet and the MJA, we present the inaugural Australian Countdown assessment of progress on climate change and health. This comprehensive assessment examines 41 indicators across five broad sections: climate change impacts, exposures and vulnerability adaptation, planning and resilience for health mitigation actions and health co-benefits economics and finance and public and political engagement. These indicators and the methods used for each are largely consistent with those of the Lancet Countdown global assessment published in October 2017, but with an Australian focus. Significant developments include the addition of a new indicator on mental health. Overall, we find that Australia is vulnerable to the impacts of climate change on health, and that policy inaction in this regard threatens Australian lives. In a number of respects, Australia has gone backwards and now lags behind other high income countries such as Germany and the United Kingdom. Ex les include the persistence of a very high carbon-intensive energy system in Australia, and its slow transition to renewables and low carbon electricity generation. However, we also find some ex les of good progress, such as heatwave response planning. Given the overall poor state of progress on climate change and health in Australia, this country now has an enormous opportunity to take action and protect human health and lives. Australia has the technical knowhow and intellect to do this, and our annual updates of this assessment will track Australia's engagement with and progress on this vitally important issue.
Unbiasedness and risk premiums in the Indian currency futures market
Publisher: Elsevier BV
Date: 03-2014
Cyber risk frequency, severity and insurance viability
Publisher: Elsevier BV
Date: 09-2022
Modeling spot price dependence in Australian electricity markets with applications to risk management
Publisher: Elsevier BV
Date: 02-2016
Conference Overview and Summary of Papers: International Conference on Financial Cycles, Systemic Risk, Interconnectedness, and Policy Options for Resilience
Publisher: Asian Development Bank
Date: 02-2017
DOI: 10.22617/TCS178668-2
Emissions Mitigation Schemes in Australia—The Past, Present and Future
Publisher: Scientific Research Publishing, Inc.
Date: 2013
Genomics accelerated isolation of a new stem rust avirulence gene - wheat resistance gene pair
Publisher: Springer Science and Business Media LLC
Date: 22-07-2021
DOI: 10.1038/S41477-021-00971-5
Abstract: Stem rust caused by the fungus Puccinia graminis f. sp. tritici (Pgt) is a devastating disease of the global staple crop wheat. Although this disease was largely controlled in the latter half of the twentieth century, new virulent strains of Pgt, such as Ug99, have recently evolved
The principal‐agent problem in coastal development: response to Mills et al.
Publisher: Wiley
Date: 18-07-2016
DOI: 10.1111/COBI.12783
A single amino acid change can alter the specificity of the multi-allelic wheat stem rust resistance locus SR9
Publisher: Research Square Platform LLC
Date: 31-10-2022
DOI: 10.21203/RS.3.RS-2208386/V1
Abstract: Most resistance genes thus far isolated from wheat have a very limited number of functional alleles, with the exception of the powdery mildew PM3 resistance locus. Here we report the isolation of most of the alleles at wheat stem rust resistance gene locus SR9 , representing the largest multi-allelic rust resistance locus in common wheat. The seven previously reported resistance alleles ( Sr9a , Sr9b , Sr9d , Sr9e , Sr9f , Sr9g , and Sr9h ) at the locus were characterised using a synergistic strategy. Loss-of-function mutants and/or transgenic complementation were used to confirm Sr9b , two haplotypes of Sr9e ( Sr9e_h1 , Sr9e_h2 ), Sr9g , and Sr9h . Each allele encodes a highly related nucleotide-binding site leucine-rich repeat (NB-LRR) type immune receptor, containing a previously unreported motif at their N termini and an unusual long LRR domain, that confers resistance to a unique spectrum of isolates of the wheat stem rust pathogen. The only SR9 protein effective against stem rust pathogen race TTKSK (Ug99), SR9H, differed from SR9B by a single amino acid. SR9B and SR9G resistance proteins were also distinguished by only a single amino acid. The SR9 allelic series found in the B subgenome are orthologs of wheat stem rust resistance gene Sr21 located in the A subgenome with around 85% identity in protein sequences.
Time trends in losses from major tornadoes in the United States
Publisher: Elsevier BV
Date: 09-2023
Identifying spikes and seasonal components in electricity spot price data: A guide to robust modeling
Publisher: Elsevier BV
Date: 07-2013
It’s not now or never: Implications of investment timing and risk aversion on climate adaptation to extreme events
Publisher: Elsevier BV
Date: 09-2016
Daily Business and External Condition Indices for the Australian Economy
Publisher: Wiley
Date: 09-04-2015
Interaction between Australian carbon prices and energy prices
Publisher: Informa UK Limited
Date: 12-2011
The dynamics of returns on renewable energy companies: A state-space approach
Publisher: Elsevier BV
Date: 03-2015
Early warning systems using dynamic factor models: An application to Asian economies
Publisher: Elsevier BV
Date: 02-2022
The Relationship between Carbon, Commodity and Financial Markets: A Copula Analysis*
Publisher: Wiley
Date: 15-07-2011
Forecasting credit migration matrices with business cycle effects—a model comparison
Publisher: Informa UK Limited
Date: 07-2008
Stem rust resistance in wheat is suppressed by a subunit of the mediator complex
Publisher: Springer Science and Business Media LLC
Date: 28-02-2020
DOI: 10.1038/S41467-020-14937-2
Abstract: Stem rust is an important disease of wheat that can be controlled using resistance genes. The gene SuSr-D1 identified in cultivar ‘Canthatch’ suppresses stem rust resistance. SuSr-D1 mutants are resistant to several races of stem rust that are virulent on wild-type plants. Here we identify SuSr-D1 by sequencing flow-sorted chromosomes, mutagenesis, and map-based cloning. The gene encodes Med15, a subunit of the Mediator Complex, a conserved protein complex in eukaryotes that regulates expression of protein-coding genes. Nonsense mutations in Med15b.D result in expression of stem rust resistance. Time-course RNAseq analysis show a significant reduction or complete loss of differential gene expression at 24 h post inoculation in med15b.D mutants, suggesting that transcriptional reprogramming at this time point is not required for immunity to stem rust. Suppression is a common phenomenon and this study provides novel insight into suppression of rust resistance in wheat.
A recombined Sr26 and Sr61 disease resistance gene stack in wheat encodes unrelated NLR genes
Publisher: Springer Science and Business Media LLC
Date: 07-06-2021
DOI: 10.1038/S41467-021-23738-0
Abstract: The re-emergence of stem rust on wheat in Europe and Africa is reinforcing the ongoing need for durable resistance gene deployment. Here, we isolate from wheat, Sr26 and Sr61 , with both genes independently introduced as alien chromosome introgressions from tall wheat grass ( Thinopyrum ponticum ). Mutational genomics and targeted exome capture identify Sr26 and Sr61 as separate single genes that encode unrelated (34.8%) nucleotide binding site leucine rich repeat proteins. Sr26 and Sr61 are each validated by transgenic complementation using endogenous and/or heterologous promoter sequences. Sr61 orthologs are absent from current Thinopyrum elongatum and wheat pan genome sequences, contrasting with Sr26 where homologues are present. Using gene-specific markers, we validate the presence of both genes on a single recombinant alien segment developed in wheat. The co-location of these genes on a small non-recombinogenic segment simplifies their deployment as a gene stack and potentially enhances their resistance durability.
The 2020 special report of the MJA–Lancet Countdown on health and climate change: lessons learnt from Australia’s 'Black Summer'
Publisher: AMPCo
Date: 02-12-2020
DOI: 10.5694/MJA2.50869
Modelling the Dependence Structure between Australian Equity and Real Estate Markets – a Copula Approach
Publisher: University of Wollongong Library
Date: 2015
Honey bees (Hymenoptera: Apidae) outnumber native bees in Tasmanian apple orchards: Perspectives for balancing crop production and native bee conservation
Publisher: Wiley
Date: 03-02-2021
DOI: 10.1111/AEN.12521
Abstract: Apples are a major crop globally, including in Tasmania (Australia) – known as ‘the Apple Isle’ owing to the key role of apples in Tasmania's history and economy. Most apple cultivars are obligate entomophilous species, and fruit quantity, quality and economic value are enhanced under insect pollination. Whilst the introduced European honey bee ( Apis mellifera ) is often assumed to be the main pollinator of apple in most regions of the world, including Australia, there is an increasing interest in alternative pollinators. The pollinator community of Tasmanian apple crops, however, has never been assessed. In this study, we surveyed four apple orchards for 3 days each during peak bloom in the Huon Valley region to characterise bee assemblages visiting blooming apple trees and the native bee fauna associated with surrounding flowering vegetation. Our results show that honey bees were the predominant visitors to apple blossoms (90.7% of visits), followed by the introduced bumble bee Bombus terrestris (5.9% of visits), with only a minor contribution by native bees (3.3% of visits). Twenty‐six species of native bees were collected in total, of which only 10 species (five Exoneura (Apidae), four Lasioglossum (Halictidae) and one Euryglossa (Colletidae) species) were collected from apple blossoms, with Exoneura being the most abundant visitors. Few native bees were captured on apple blossoms, however co‐blooming surrounding native vegetation, as well exotic flowers, hosted a high ersity and abundance of native bees. Site conditions influenced community composition, including abundance and representation of introduced bees compared to native bees visiting apples. Additionally, warmer temperatures favoured native bees. Collectively, our results suggest that Tasmania's apple production in its current state is unlikely to rely exclusively on native pollinators. Native bees nevertheless warrant conservation in such an insular crop production system. This can be achievable through retaining native flowering plants and even exotic non‐crop flowers in and around orchards. Promoting the ersity and abundance of native bees through habitat enhancement may have additional benefits, such as filling current and future pollination demands and gaps, a key strategy under scenarios of climate change.
Investors' carbon risk exposure and their potential for shareholder engagement
Publisher: Wiley
Date: 23-08-2020
DOI: 10.1002/BSE.2621
A strategy for identifying markers linked with stem rust resistance in wheat harbouring an alien chromosome introgression from a non-sequenced genome
Publisher: Springer Science and Business Media LLC
Date: 16-10-2019
DOI: 10.1007/S00122-018-3201-8
Abstract: A set of molecular markers was developed for Sr26 from comparative genomic analysis. The comparative genomic approach also enabled the identification of a previously uncharacterised wheat chromosome that carried Sr26. Stem rust of wheat, a biotic stress caused by a fungal pathogen, continues to pose significant threats to wheat production. Considerable effort has been directed at surveillance and breeding approaches to minimize the impact of the widely virulent race of the stem rust pathogen (Puccinia graminis f. sp. tritici, Pgt) commonly known as Ug99 (TTKSK) and other races in its lineage. The stem rust resistance gene Sr26, derived from Thinopyrum ponticum, is an excellent ex le of the successful utilization of a gene from a wild relative of a crop plant and remains one of the few durable sources of resistance currently effective against all known field isolates of Pgt. We explored comparative genomic analysis of the nucleotide binding leucine rich repeat (NLR) genes of the diploid D genome and bread wheat genomes to target the Sr26 region from the non-sequenced Th. ponticum genome. A chromosomal interval harboring NLR genes in the distal end of homoeologous group 6 chromosomes was used to demarcate the Sr26 locus. A set of closely linked PCR-based molecular markers was developed for Sr26. Furthermore, the comparative analysis approach enabled the unambiguous identification of a previously uncharacterised wheat chromosome that carried Sr26 in an introgressed Th. ponticum segment and was validated by fluorescent and genomic in situ hybridisation (FISH/GISH) experiments. The genetic information generated from the target interval based on this study will benefit future related studies on group 6 chromosomes of wheat, including 6D
Second order of stochastic dominance efficiency vs mean variance efficiency
Publisher: Elsevier BV
Date: 05-2021
Credit portfolio risk and probability of default confidence sets through the business cycle
Publisher: Infopro Digital Services Limited
Date: 2005
Carbon pass-through rates on spot electricity prices in Australia
Publisher: Elsevier BV
Date: 04-2021
Rating Based Modeling of Credit Risk
Publisher: Elsevier
Date: 2009
Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models
Publisher: Walter de Gruyter GmbH
Date: 22-01-2006
Exploring the relationship between the sustainability of construction and market value
Publisher: Emerald
Date: 17-04-2007
DOI: 10.1108/02637470710741506
Abstract: The basic purpose of this paper is to explore the relationship between the sustainability of construction on the one hand and market value, worth and property investment performance on the other hand. This paper aims to analyse price movements and price differences caused by different property characteristics. Based on the estimated log‐linear hedonic regression model, a hedonic price index is calculated. Price movements subject to different property characteristics are examined by constructing various conditional hedonic price indexes. The results reveal that, high‐quality flats or flats within preferred locations clearly outperform their competitors in terms of price stability during an overall market downturn. However, it is also shown that contemporary building descriptions or specifications of transactions within property databases are not yet sufficient and need to be widened to meet forthcoming challenges. Therefore, an “integrated building performance approach” is introduced and a proposal for the step‐wise improvement of building descriptions is made. The paper shows that efforts need to be undertaken by the property profession in combining and transferring financial performance data along with information that is indicative of a building's contribution to sustainable development. The paper offers insights into the relationship between the sustainability of construction and market value.
Financing alternative energy projects: An examination of challenges and opportunities for local government
Publisher: Elsevier BV
Date: 10-2016
Modelling catastrophe claims with left-truncated severity distributions
Publisher: Springer Science and Business Media LLC
Date: 15-08-2006
On correlated measurement errors in the Schwartz-Smith two-factor model
Publisher: Walter de Gruyter GmbH
Date: 2022
Abstract: The Schwartz–Smith two-factor model is commonly used for pricing of derivatives in commodity markets. For estimating and forecasting the term structures of futures prices, the logarithm of commodity spot price is represented as the sum of short- and long-term factors being the unobservable state variables. The futures prices derived as functions of the spot price lead to the simultaneous set of measurement equations, which is used for joint estimation of unobservable state variables and the model parameters through a filtering procedure. We propose a modified model where the error terms in the measurement equations are assumed to be serially correlated. In addition, for comparative analysis, the modelling of the logarithmic returns of futures prices is also considered. Out-of-s le prediction performances of two proposed models were illustrated using European Unit Allowances (EUA) futures prices from January 2017 to April 2021. Historically, this period corresponds to the second half of Phase III, and the beginning of Phase IV of the European Union Emission Trading System (EU-ETS).
Returns of REITS and stock markets
Publisher: Emerald
Date: 09-02-2010
DOI: 10.1108/14635781011020010
Abstract: The purpose of this paper is to provide an analysis of the dependence structure between returns from real estate investment trusts (REITS) and a stock market index. Further, the aim is to illustrate how copula approaches can be applied to model the complex dependence structure between the assets and for risk measurement of a portfolio containing investments in REIT and equity indices. The usually suggested multivariate normal or variance‐ covariance approach is applied, as well as various copula models in order to investigate the dependence structure between returns of Australian REITS and the Australian stock market. Different models including the Gaussian, Student t , Clayton and Gumbel copula are estimated and goodness‐of‐fit tests are conducted. For the return series, both the Gaussian and a non‐parametric estimate of the distribution is applied. A risk analysis is provided based on Monte Carlo simulations for the different models. The value‐at‐risk measure is also applied for quantification of the risks for a portfolio combining investments in real estate and stock markets. The findings suggest that the multivariate normal model is not appropriate to measure the complex dependence structure between the returns of the two asset classes. Instead, a model using non‐parametric estimates for the return series in combination with a Student t copula is clearly more suitable. It further illustrates that the usually applied variance‐covariance approach leads to a significant underestimation of the actual risk for a portfolio consisting of investments in REITS and equity indices. The nature of risk is better captured by the suggested copula models. To the authors', knowledge, this is one of the first studies to apply and test different copula models in real estate markets. Results help international investors and portfolio managers to deepen their understanding of the dependence structure between returns from real estate and equity markets. Additionally, the results should be helpful for implementation of a more adequate risk management for portfolios containing investments in both REITS and equity indices.
Modeling risks from natural hazards with generalized additive models for location, scale and shape
Publisher: Elsevier BV
Date: 12-2020
A chromosome-level, fully phased genome assembly of the oat crown rust fungus Puccinia coronata f. sp. avenae: a resource to enable comparative genomics in the cereal rusts
Publisher: Oxford University Press (OUP)
Date: 22-06-2022
DOI: 10.1093/G3JOURNAL/JKAC149
Abstract: Advances in sequencing technologies as well as development of algorithms and workflows have made it possible to generate fully phased genome references for organisms with nonhaploid genomes such as dikaryotic rust fungi. To enable discovery of pathogen effectors and further our understanding of virulence evolution, we generated a chromosome-scale assembly for each of the 2 nuclear genomes of the oat crown rust pathogen, Puccinia coronata f. sp. avenae (Pca). This resource complements 2 previously released partially phased genome references of Pca, which display virulence traits absent in the isolate of historic race 203 (isolate Pca203) which was selected for this genome project. A fully phased, chromosome-level reference for Pca203 was generated using PacBio reads and Hi-C data and a recently developed pipeline named NuclearPhaser for phase assignment of contigs and phase switch correction. With 18 chromosomes in each haplotype and a total size of 208.10 Mbp, Pca203 has the same number of chromosomes as other cereal rust fungi such as Puccinia graminis f. sp. tritici and Puccinia triticina, the causal agents of wheat stem rust and wheat leaf rust, respectively. The Pca203 reference marks the third fully phased chromosome-level assembly of a cereal rust to date. Here, we demonstrate that the chromosomes of these 3 Puccinia species are syntenous and that chromosomal size variations are primarily due to differences in repeat element content.
A dynamic network analysis of spot electricity prices in the Australian national electricity market
Publisher: Elsevier BV
Date: 10-2020
The Diversification Delta: A Different Perspective
Publisher: Pageant Media US
Date: 31-07-2017
Spot and derivative pricing in the EEX power market
Publisher: Elsevier BV
Date: 11-2007
Quantifying catastrophic and climate impacted hazards based on local expert opinions
Publisher: Elsevier BV
Date: 2018
DOI: 10.1016/J.JENVMAN.2017.08.035
Abstract: Quantifying the potential costs of catastrophic and climate impacted hazards is a challenging but important exercise as the occurrence of such events is usually associated with high damage and uncertainty. At the local level, there is often a lack of information on rare extreme events, which means that the available data is not sufficient to fit a distribution and derive parameter values for frequency and severity distributions. This paper discusses the use of local assessments of extreme events and utilises expert elicitation in order to obtain values for distribution parameters that will feed into management decisions with regards to quantifying catastrophic risks. We illustrate a simple approach, where a local expert is required to only specify two percentiles of the loss distribution in order to provide an estimate for the severity distribution of climate impacted hazards. In our approach we use heavy-tailed distributions to capture the severity of events. Our method allows local government decision makers to focus on extreme losses and the tail of the distribution. An illustration of the method is provided utilising an ex le that quantifies property losses from bushfires for a local area in northern Sydney. We further illustrate how key variables, such as discount rates, assumptions about climatic change and adaptation measures, will impact the estimates of losses.
A highly differentiated region of wheat chromosome 7AL encodes a Pm1a immune receptor that recognizes its corresponding AvrPm1a effector from Blumeria graminis
Publisher: Wiley
Date: 15-12-2020
DOI: 10.1111/NPH.17075
Abstract: Pm1a , the first powdery mildew resistance gene described in wheat, is part of a complex resistance (R) gene cluster located in a distal region of chromosome 7AL that has suppressed genetic recombination. A nucleotide‐binding, leucine‐rich repeat (NLR) immune receptor gene was isolated using mutagenesis and R gene enrichment sequencing (MutRenSeq). Stable transformation confirmed Pm1a identity which induced a strong resistance phenotype in transgenic plants upon challenge with avirulent Blumeria graminis (wheat powdery mildew) pathogens. A high‐density genetic map of a B . graminis family segregating for Pm1a avirulence combined with pathogen genome resequencing and RNA sequencing (RNAseq) identified AvrPm1a effector gene candidates. In planta expression identified an effector, with an N terminal Y/FxC motif, that induced a strong hypersensitive response when co‐expressed with Pm1a in Nicotiana benthamiana . Single chromosome enrichment sequencing (ChromSeq) and assembly of chromosome 7A suggested that suppressed recombination around the Pm1a region was due to a rearrangement involving chromosomes 7A, 7B and 7D. The cloning of Pm1a and its identification in a highly rearranged region of chromosome 7A provides insight into the role of chromosomal rearrangements in the evolution of this complex resistance cluster.
Recent Advances in Credit Risk Management
Publisher: Physica-Verlag HD
Date: 2009
Factors of the term structure of sovereign yield spreads
Publisher: Elsevier BV
Date: 03-2018
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Discovery Projects - Grant ID: DP1096326
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End Date: 09-2013
Amount: $169,136.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP120102220
Start Date: 2012
End Date: 06-2015
Amount: $255,000.00
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View Funded ActivityARC Future Fellowships - Grant ID: FT200100148
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End Date: 12-2024
Amount: $914,503.00
Funder: Australian Research Council
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