ORCID Profile
0000-0002-5821-3469
Current Organisations
Massey University
,
University of South Australia
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Publisher: Elsevier BV
Date: 11-2023
Publisher: ISEAS - Yusof Ishak Institute
Date: 2012
DOI: 10.1355/AE29-1A
Publisher: Wiley
Date: 12-2010
Publisher: Wiley
Date: 09-2007
Publisher: Emerald
Date: 26-09-2008
DOI: 10.1108/17538250810903800
Abstract: The purpose of this paper is to explore whether India is a suitable candidate for an inflation targeting regime. It begins by placing India's monetary policy actions in a broader context by discussing whether the Reserve Bank of India (RBI) should shift from its current policy of heavily managed exchange rates to one involving greater currency flexibility. If the latter is chosen, the selection of inflation targeting would appear an appropriate one. This paper has analytical, empirical and policy dimensions. Given the recent history of exchange rate centered policy in India, a discussion of the role of the exchange rate is needed. This is presented by the use of an analytical model where we examine how inflation targeting might work with the exchange rate. Then the decision rule from the model (a monetary policy rule (MPR)) is adapted for empirical testing and is estimated to investigate whether an MPR that follows inflation targeting can work for India. There is some evidence to suggest that the RBI follows an MPR quite inadvertently. The MPR (interest rates) tends to react to current inflation, but there is no evidence that it reacts to forecasts of inflation. Additionally, interest rates do not react at all to the exchange rate. The RBI's operating policy framework and whether it should adopt an inflation targeting arrangement is a highly topical issue that has attracted a great deal of attention in policy discussions in India. Very few papers broach this topic systematically and combine the analytical and empirical considerations.
Publisher: SAGE Publications
Date: 03-2013
Abstract: This article presents an analysis of the degree of de facto exchange rate flexibility in the exchange rate regimes for selected South Asian economies, viz., Bangladesh, India, Pakistan and Sri Lanka. Three commonly employed measures of exchange rate classification are used: a simple exchange market pressure (EMP) measure, a GARCH specification and a regression-based model. The article finds strong evidence of limited flexibility in all the South Asian economies—particularly against the US dollar, which can suggest a heavy degree of currency management. While Bangladesh, Pakistan and Sri Lanka effectively have fixed exchange rate regimes vis-à-vis the US dollar, India appears to operate somewhat more as a managed floater with a movement towards greater flexibility in recent years.
Publisher: Elsevier BV
Date: 10-2010
Publisher: WORLD SCIENTIFIC
Date: 09-03-2014
Publisher: WORLD SCIENTIFIC
Date: 09-03-2014
Publisher: Wiley
Date: 13-10-2017
DOI: 10.1111/ROIE.12265
Publisher: De Gruyter Open
Date: 31-12-2021
Publisher: WORLD SCIENTIFIC
Date: 12-2008
Publisher: Elsevier BV
Date: 09-2015
Publisher: WORLD SCIENTIFIC
Date: 09-03-2014
Publisher: Wiley
Date: 09-11-2022
DOI: 10.1111/IRFI.12369
Abstract: Can macroprudential policies (MaPs) mitigate the pressures from capital inflows on real exchange rates in emerging markets? We investigate this question empirically for a large panel of emerging markets, factoring in the heterogeneity of capital inflows. Exploiting a comprehensive dataset on MaPs for a panel of 85 countries spanning the time‐period 2000–2017, we empirically examine the association between different types of gross capital flows and real effective exchange rates (REER) and assess whether there is a role for MaPs in influencing that relationship. We find that the imposition of MaPs helps counter REER appreciation only when it results from higher gross portfolio debt inflows. In other words, the moderating impact of MaPs on REER varies by the type of capital flows. We also show that these results hold only for countries with high degrees of financial development, possibly because MaPs work primarily via the financial system and hence there needs to be a reasonable level of financial development for them to be effective.
Publisher: Routledge
Date: 04-03-2021
Publisher: ISEAS - Yusof Ishak Institute
Date: 2011
DOI: 10.1355/AE28-2H
Publisher: Informa UK Limited
Date: 22-09-2017
Publisher: Elsevier BV
Date: 09-2008
Publisher: Wiley
Date: 04-2019
DOI: 10.1111/TWEC.12783
Publisher: Wiley
Date: 07-07-2023
DOI: 10.1002/SMI.3287
Abstract: Using a rich in idual level dataset from six countries, we examine the relationship between job loss and mental disorders during the first phase of the COVID‐19 pandemic. We consider four indicators of mental disorders based on their severity, viz. anxiety, insomnia, boredom, and loneliness. We draw our conclusions based on two groups of countries that differ by the timing of their peak infections count. Using a logit and a two‐stage least squares (TSLS) regression methods, we find that the people who lost their jobs due to the pandemic are more likely to suffer from mental disorders, especially insomnia and loneliness. Additionally, people with financial liabilities, such as housing mortgages, are among those vulnerable to anxiety. Women, urban residents, youth, low‐income groups, and tobacco users are more prone to mental disorders. The findings from this research have significant policy implications on infectious disease control measures and mental health conditions due to lockdowns and social distancing.
Publisher: Informa UK Limited
Date: 30-10-2018
Publisher: Springer Science and Business Media LLC
Date: 15-08-2023
DOI: 10.1007/S11423-023-10277-2
Abstract: An important course in the computer science discipline is ‘ Data Structures and Algorithms’ (DSA). The coursework lays emphasis on experiential learning for building students’ programming and algorithmic reasoning abilities. Teachers set up a repertoire of formative programming exercises to engage students with different programmatic scenarios to build their know-what, know-how and know-why competencies. Automated assessment tools can assist teachers in inspecting, marking, and grading of programming exercises and also support them in providing students with formative feedback in real-time. This article describes the design of a bespoke automarker that was integrated into the DSA coursework and therefore served as an instructional tool. Activity theory has provided the pedagogical lens to examine how the automarker-mediated instructional strategy enabled self-reflection and assisted students in their formative learning journey. Learner experiences gathered from 39 students enrolled in DSA course shows that the automarker facilitated practice-based learning to advance students know-what, know-why and know-how skills. This study contributes to both curricula and pedagogic practice by showcasing the integration of an automated assessment strategy with programming-related coursework to inform future teaching and assessment practice.
Publisher: Informa UK Limited
Date: 29-09-2015
Publisher: Public Library of Science (PLoS)
Date: 22-07-2022
DOI: 10.1371/JOURNAL.PONE.0271586
Abstract: This paper investigates the determinants of COVID-19 infection in the first 100 days of government actions. Using a debiased LASSO estimator, we explore how different measures of government nonpharmaceutical interventions affect new infections of COVID-19 for 37 lower and middle-income countries (LMCs). We find that closing schools, stay-at-home restrictions, and contact tracing reduce the growth of new infections, as do economic support to households and the number of health care workers. Notably, we find no significant effects of business closures. Finally, infections become higher in countries with greater income inequality, higher tourist inflows, poorly educated adults, and weak governance quality. We conclude that several policy interventions reduce infection rates for poorer countries. Further, economic and institutional factors are important thereby justifying the use, and ultimately success, of economic support to households during the initial infection period.
Publisher: Wiley
Date: 27-02-2019
DOI: 10.1111/TWEC.12767
Publisher: Elsevier BV
Date: 2009
Publisher: WORLD SCIENTIFIC
Date: 2008
Publisher: Wiley
Date: 07-2007
Publisher: Informa UK Limited
Date: 08-2012
Publisher: Informa UK Limited
Date: 28-09-2018
Publisher: Elsevier BV
Date: 12-2012
Publisher: Elsevier BV
Date: 07-2020
Publisher: Routledge
Date: 02-10-2013
Publisher: Elsevier BV
Date: 04-2014
Publisher: Wiley
Date: 09-03-2023
Abstract: This study utilises the stock market data provided by the Australian Equity Database to analyse the long‐run relationship between Australian stock returns and key macroeconomic variables over the period 1926–2017. To measure the erse risk factors in the stock market, we examine the possible determinants in four main categories: real, financial, domestic and international. Our results reveal that historical stock returns are strongly connected to financial and international factors as compared to real and domestic factors. Both the 1973–1974 OPEC Oil Price Crisis and 2007–2008 Global Financial Crisis had d ening effects on stock returns. There is a positive association between the US and Australian stock markets in the long‐run. These findings on stock market dynamics and their linkages with domestic and international macroeconomic policy changes in the long‐run have important implications for traders and practitioners.
Publisher: WORLD SCIENTIFIC
Date: 23-04-2014
DOI: 10.1142/8798
Publisher: Informa UK Limited
Date: 15-12-2022
Publisher: Wiley
Date: 25-01-2021
DOI: 10.1111/TWEC.13090
Abstract: A competitive and stable real exchange rate (RER) has been recognised as an important variable for promoting economic development, especially in emerging and developing economies (EMDEs). The postglobal financial crisis era, however, has seen a marked deluge of global liquidity from ultra‐loose monetary policy in advanced economies, which has led to a surge in capital inflows and consequent loss of external competitiveness in several EMDEs. Given this context, this paper empirically investigates if and what types of macroprudential policies (MaPs) have been effective in countering RER appreciations in a panel of 93 EMDEs over the period 2000–2013. Our results show strong evidence that MaPs moderate RER appreciation through the real interest rate channel, though this is limited to MaPs that target financial institutions rather than borrowers. There is also evidence to suggest that MaPs work more effectively during periods of rising rather than falling real interest rates.
Publisher: Springer Science and Business Media LLC
Date: 13-12-2020
Publisher: Public Library of Science (PLoS)
Date: 28-08-2020
Publisher: Informa UK Limited
Date: 06-03-2023
Publisher: Routledge
Date: 07-05-2020
Publisher: Elsevier BV
Date: 05-2015
Publisher: Informa UK Limited
Date: 02-08-2023
Publisher: Wiley
Date: 12-2006
No related grants have been discovered for Tony Cavoli.