A Bayesian State Space Methodology for Forecasting Stock Market Volatility and Associated Time-varying Risk Premia. Accurate prediction of stock market volatility is critical for effective financial risk management. Along with information on volatility embedded in historical stock market returns, the prices of options written on the underlying stocks also reflect the option market's assessment of future volatility. This project will exploit this dual data source in a completely new way, using it ....A Bayesian State Space Methodology for Forecasting Stock Market Volatility and Associated Time-varying Risk Premia. Accurate prediction of stock market volatility is critical for effective financial risk management. Along with information on volatility embedded in historical stock market returns, the prices of options written on the underlying stocks also reflect the option market's assessment of future volatility. This project will exploit this dual data source in a completely new way, using it to produce forecasts of both volatility itself and the premia factored into asset prices as a result of traders' perceptions of volatility risk. State-of-the-art statistical methods will be used to produce up-dates of the probability of extreme volatility and/or extreme risk aversion, as new market data becomes available each trading day.Read moreRead less
Non-parametric estimation of forecast distributions in non-Gaussian state space models. The production of accurate forecasts is arguably one of the most challenging tasks in economics, business and finance, where data often assume strictly positive, integer or binary values, or are characterized by many extreme values far from the average. This project will produce new, state-of-the-art statistical methods for generating accurate estimates of the probabilities attached to different possible futu ....Non-parametric estimation of forecast distributions in non-Gaussian state space models. The production of accurate forecasts is arguably one of the most challenging tasks in economics, business and finance, where data often assume strictly positive, integer or binary values, or are characterized by many extreme values far from the average. This project will produce new, state-of-the-art statistical methods for generating accurate estimates of the probabilities attached to different possible future values of such variables. Although far-ranging in scope, the techniques advocated will have particular impact in the financial sphere, where the concept of future risk is inextricably linked to the probability of occurrence of extreme values and, hence, to the future probability distribution of the financial variable. Read moreRead less
New Approaches to the Analysis of Count Time Series. The focus of this proposal is on the analysis of data that enumerate events over time. Occurrences of such count data abound in economics and business, examples being observations on insurance claims, loan defaults and individual product demand. This project develops a suite of innovative methods for modelling and predicting event counts. The methods explicitly accommodate both the discreteness of the data and possible complexities in its evo ....New Approaches to the Analysis of Count Time Series. The focus of this proposal is on the analysis of data that enumerate events over time. Occurrences of such count data abound in economics and business, examples being observations on insurance claims, loan defaults and individual product demand. This project develops a suite of innovative methods for modelling and predicting event counts. The methods explicitly accommodate both the discreteness of the data and possible complexities in its evolution over time. In so doing, they enable both accurate inferences regarding the dynamic structure of the data to be drawn and accurate forecasts of future event counts to be produced.Read moreRead less
New estimation and testing issues in nonlinear time series econometrics. The outcomes of this project will not only complement but also enhance the existing strengths of Australian researchers in the field of econometrics. The outcomes are also expected to help stabilise the national financial market for more accurate forecasts. It is also expected that the outcomes will provide novel models to respond to climate change and variability and to provide accurate warming estimates for improving the ....New estimation and testing issues in nonlinear time series econometrics. The outcomes of this project will not only complement but also enhance the existing strengths of Australian researchers in the field of econometrics. The outcomes are also expected to help stabilise the national financial market for more accurate forecasts. It is also expected that the outcomes will provide novel models to respond to climate change and variability and to provide accurate warming estimates for improving the policy making process.Read moreRead less
Fractional Integration, Power Laws and Econometric Models: Some Methodological and Theoretical Developments. The fundamental objectives of this project are to: (i) Extend
current econometric practice and consider the use of power laws as
a basis for the construction of a more flexible and realistic
class of models for the analysis of economic and financial time
series. (ii) To develop inferential techniques appropriate for the
modelling of dynamic econometric systems that incorporate
struc ....Fractional Integration, Power Laws and Econometric Models: Some Methodological and Theoretical Developments. The fundamental objectives of this project are to: (i) Extend
current econometric practice and consider the use of power laws as
a basis for the construction of a more flexible and realistic
class of models for the analysis of economic and financial time
series. (ii) To develop inferential techniques appropriate for the
modelling of dynamic econometric systems that incorporate
structure characterized by power laws. This will be achieved by
building upon the class of fractionally integrated processes. New
econometric models and methodologies for the analysis of
non-stationarity series will be developed, along with the
associated theoretical results.Read moreRead less
House Prices in Australia: A Hedonic Analysis. House prices are an important input to monetary policy since they impact directly on inflation and may be a source of speculative bubbles. The Governor of the Reserve Bank, however, recently described housing as the ``weakest link in all the price data.'' This project will attempt to resolve this problem. The resulting indexes should be of considerable interest to the Reserve Bank, the media, home owners, the real estate industry, and enhance the re ....House Prices in Australia: A Hedonic Analysis. House prices are an important input to monetary policy since they impact directly on inflation and may be a source of speculative bubbles. The Governor of the Reserve Bank, however, recently described housing as the ``weakest link in all the price data.'' This project will attempt to resolve this problem. The resulting indexes should be of considerable interest to the Reserve Bank, the media, home owners, the real estate industry, and enhance the reputation of Australian universities. They will also quantify the extent of the burden imposed on young people by rising house prices, and its consequent strain on society.Read moreRead less
Can Electronic Point-of-Sale (POS) Data Improve the Australian Consumer Price Index? This project will investigate how new sources of data can be used to improve the accuracy of price indexes that are used in policy formation, such as the consumer price index. The adoption of bar-code labelling for products has provided statistical agencies with an information-rich source of 'scanner data' on prices and quantities of purchased goods. In collaboration with the Australian Bureau of Statistics, thi ....Can Electronic Point-of-Sale (POS) Data Improve the Australian Consumer Price Index? This project will investigate how new sources of data can be used to improve the accuracy of price indexes that are used in policy formation, such as the consumer price index. The adoption of bar-code labelling for products has provided statistical agencies with an information-rich source of 'scanner data' on prices and quantities of purchased goods. In collaboration with the Australian Bureau of Statistics, this project will develop mathematical and statistical methods for exploiting this new data source. The findings will contribute to the improvement of price indexes, and subsequently the many government policies that depend on these indexes.Read moreRead less
Scanner Data in the Consumer Price Index: How to expand and improve their use. The Consumer Price Index (CPI) is used in a variety of policy contexts, such as setting interest rates and determining the level of welfare payments, as well as by private industry for determining wages. The CPI is aggregate measure of price changes. It is typically constructed using survey data, which is a small sample of all the goods purchased. Electronic recording of sales, using scanned product bar codes, provide ....Scanner Data in the Consumer Price Index: How to expand and improve their use. The Consumer Price Index (CPI) is used in a variety of policy contexts, such as setting interest rates and determining the level of welfare payments, as well as by private industry for determining wages. The CPI is aggregate measure of price changes. It is typically constructed using survey data, which is a small sample of all the goods purchased. Electronic recording of sales, using scanned product bar codes, provides a huge amount of price and quantity information that potentially can be used to construct an improved CPI, and hence improved policies. The project includes the collaboration of the Australian Bureau of Statistics and the Central Bureau of Statistics (The Netherlands).Read moreRead less
Persistence in Economic Time Series: Interpretation, Measurement and Inference. An economic time series is said to be persistent if shocks to the series have a permanent effect. Accurate and unambiguous inferences regarding persistence are crucial to an understanding of the response of the variable to shocks, in particular to policy-induced shocks. In this project we will explore new ways of interpreting, measuring and conducting inference on persistence. The aim is to produce significant theor ....Persistence in Economic Time Series: Interpretation, Measurement and Inference. An economic time series is said to be persistent if shocks to the series have a permanent effect. Accurate and unambiguous inferences regarding persistence are crucial to an understanding of the response of the variable to shocks, in particular to policy-induced shocks. In this project we will explore new ways of interpreting, measuring and conducting inference on persistence. The aim is to produce significant theoretical and methodological advances which, when applied to empirical problems, will enable reliable conclusions to be drawn regarding the propagation of shocks and, hence, the likely impact of interventionist government policies.Read moreRead less
Modelling a portfolio of financial assets: structure, estimation, testing and forecasting. Information regarding financial returns and risk is essential for optimal portfolio selection and asset management. Returns and risk have typically been analysed for individual assets. The project provides a theoretical solution to the important practical problem of modelling a portfolio of financial assets in realistic situations. The significance of the research is the development of a new approach to an ....Modelling a portfolio of financial assets: structure, estimation, testing and forecasting. Information regarding financial returns and risk is essential for optimal portfolio selection and asset management. Returns and risk have typically been analysed for individual assets. The project provides a theoretical solution to the important practical problem of modelling a portfolio of financial assets in realistic situations. The significance of the research is the development of a new approach to analyse a portfolio of returns and risk, and the determination of its applicability using numerical simulation techniques. The expected outcomes are an optimal practical method for analysing a portfolio of assets, a scientific monograph, and publications in leading international journals.Read moreRead less