Computational methods for solving modern asset pricing models. This project aims to solve a broad range of asset pricing models. Movements in asset prices affect private investors, public sector finances, wealth distribution and business activity levels. Economists have tried to build better models of asset prices, moving away from hyper-rationality and towards realistic features including heterogeneity, habit persistence and bounded rationality. These models’ additional complexity makes them di ....Computational methods for solving modern asset pricing models. This project aims to solve a broad range of asset pricing models. Movements in asset prices affect private investors, public sector finances, wealth distribution and business activity levels. Economists have tried to build better models of asset prices, moving away from hyper-rationality and towards realistic features including heterogeneity, habit persistence and bounded rationality. These models’ additional complexity makes them difficult to solve or to apply to real world problems. The project will use modern hardware and computational tools, insights from economics literature and numerical analysis to provide a set of solution methods for such asset pricing models. This is expected to improve policy analysis and decision making under uncertainty.Read moreRead less
Commodity cycles. The implications of resource demand by emerging markets are issues policy makers need to understand. This project address these by focusing on currency, equity and commodity linkages, the financial market and macroeconomic effects of currency collapse, and the role of emerging markets in mitigating/amplifying economic shock transmission.
Dynamic Count Models of Financial Contagion with Applications to Global Banking and Currency Crises. An international model of contagion and interconnectedness is developed and applied using annual time series on banking and currency crises in developed and emerging countries. The model represents a new class of multivariate dynamic count models that allows for important dynamical interactions to capture the transmission of financial crises across national and international asset markets. The p ....Dynamic Count Models of Financial Contagion with Applications to Global Banking and Currency Crises. An international model of contagion and interconnectedness is developed and applied using annual time series on banking and currency crises in developed and emerging countries. The model represents a new class of multivariate dynamic count models that allows for important dynamical interactions to capture the transmission of financial crises across national and international asset markets. The properties of the models are investigated as well as the development of new estimation methods based on simulation techniques. An important implication of the approach is that it can be used as an early warning signal of future crises, thereby providing an input into the design of future policy on crisis management.Read moreRead less
Asset Market Interconnectedness and Exotic Options: The Mean Impact Surface. The project intends to develop models to price financial risk more accurately during periods of financial stress and increasing global interconnectedness. Specifically, it plans to develop a new class of latent factor models with time-varying loadings to model the interconnectedness of global financial markets during periods of financial stress. A key feature of the proposed model is the role of second-order conditional ....Asset Market Interconnectedness and Exotic Options: The Mean Impact Surface. The project intends to develop models to price financial risk more accurately during periods of financial stress and increasing global interconnectedness. Specifically, it plans to develop a new class of latent factor models with time-varying loadings to model the interconnectedness of global financial markets during periods of financial stress. A key feature of the proposed model is the role of second-order conditional moments of the underlying innovation processes in modelling asset return dynamics. The proposed model is characterised by higher order nonlinear structures which are captured graphically by the mean impact surface. The project also plans to develop a new class of tests to detect higher order dependencies among asset returns in the presence of time-varying volatility, and to investigate the implications for constructing portfolios with exotic options to hedge risk during financial crises.Read moreRead less
Detecting financial contagion using high frequency data. Financial crises spread extraordinarily quickly. However, existing tools for measuring this spread use relatively low frequency data. This project develops tools for measuring and detecting periods of stress and the effects of financial contagion in financial markets, using high frequency data based on recorded transaction prices.