Financial econometrics is a great success story in economics. Intended for professionals and advanced graduate students pursuing expertise in econometric modeling, this guide focuses on methods related to foregoing research and those modeling techniques that seem relevant to future advances.
Financial econometrics is a great success story in economics. Econometrics uses data and statistical inference methods, together with structural and descriptive modelling, to address rigorous economic problems. Its development within the world of finance is quite recent and has been paralleled by a fast expansion of financial markets and an increasing variety and complexity of financial products. This has fuelled the demand for people with advanced econometrics skills. For professionals and advanced graduate students pursuing greater expertise in econometric modelling, this is a guide to the field's frontier. With the goal of providing information that is absolutely up-to-date - essental in today's rapidly evolving financial environment - Gourieroux and Jasiak focus on methods related to foregoing research and those modelling techniques that seem relevant for future advances. They present a balanced synthesis of financial theory and statistical methodology.Recognizing that any model is necessarily a simplified image of reality and that econometric methods must be adapted and applied on a case-by-case basis, the authors employ a wide variety of data sampled at frequencies ranging f
Financial econometrics is a great success story in economics. Econometrics uses data and statistical inference methods, together with structural and descriptive modelling, to address rigorous economic problems. Its development within the world of finance is quite recent and has been paralleled by a fast expansion of financial markets and an increasing variety and complexity of financial products. This has fuelled the demand for people with advanced econometrics skills. For professionals and advanced graduate students pursuing greater expertise in econometric modelling, this is a guide to the field's frontier. With the goal of providing information that is absolutely up-to-date - essental in today's rapidly evolving financial environment - Gourieroux and Jasiak focus on methods related to foregoing research and those modelling techniques that seem relevant for future advances. They present a balanced synthesis of financial theory and statistical methodology.Recognizing that any model is necessarily a simplified image of reality and that econometric methods must be adapted and applied on a case-by-case basis, the authors employ a wide variety of data sampled at frequencies ranging f
This book proposes new methods to build optimal portfolios and to analyze market liquidity and volatility under market microstructure effects, as well as new financial risk measures using parametric...
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