Jianqing Fan is a statistician and financial econometrician. He is the current Frederick L. Moore '18 Professor of Finance and Professor of Statistics at Princeton University, New Jersey. His prizes include the Guggenheim Fellowship (2009), the Guy Medal in Silver (2014) and the COPSS Presidents' Award (2000). In 2012, he was elected Academician of Academia Sinica. He is a co-editor of the Journal of Econometrics and an associate editor of the Journal of the American Statistical Association. Qiwei Yao is Professor of Statistics at the London School of Economics and Political Science. He is an associate editor for the Journal of the American Statistical Association and for the Journal of the Royal Statistical Society: Series B.

'The Elements of Financial Econometrics is a compact introduction to quantitative methods for financial professionals who want to improve their quantitative skill set. The book is a survey of the statistical tools and associated applications needed by those who seek to use quantitative methods and empirical rigor in their analyses.' Nick Ronalds, Financial Analysts Journal

• 1. Asset returns; 2. Linear time series models; 3. Heteroscedastic volatility models; 4. Multivariate time series analysis; 5. Efficient portfolios and capital asset pricing model; 6. Factor pricing models; 7. Portfolio allocation and risk assessment; 8. Consumption-based CAPM; 9. Present-value models; References; Author index; Subject index.

Jianqing Fan is a statistician and financial econometrician. He is the current Frederick L. Moore '18 Professor of Finance and Professor of Statistics at Princeton University, New Jersey. His prizes include the Guggenheim Fellowship (2009), the Guy Medal in Silver (2014) and the COPSS Presidents' Award (2000). In 2012, he was elected Academician of Academia Sinica. He is a co-editor of the Journal of Econometrics and an associate editor of the Journal of the American Statistical Association. Qiwei Yao is Professor of Statistics at the London School of Economics and Political Science. He is an associate editor for the Journal of the American Statistical Association and for the Journal of the Royal Statistical Society: Series B.

'The Elements of Financial Econometrics is a compact introduction to quantitative methods for financial professionals who want to improve their quantitative skill set. The book is a survey of the statistical tools and associated applications needed by those who seek to use quantitative methods and empirical rigor in their analyses.' Nick Ronalds, Financial Analysts Journal

• 1. Asset returns; 2. Linear time series models; 3. Heteroscedastic volatility models; 4. Multivariate time series analysis; 5. Efficient portfolios and capital asset pricing model; 6. Factor pricing models; 7. Portfolio allocation and risk assessment; 8. Consumption-based CAPM; 9. Present-value models; References; Author index; Subject index.

Jianqing Fan is a statistician and financial econometrician. He is the current Frederick L. Moore '18 Professor of Finance and Professor of Statistics at Princeton University, New Jersey. His prizes include the Guggenheim Fellowship (2009), the Guy Medal in Silver (2014) and the COPSS Presidents' Award (2000). In 2012, he was elected Academician of Academia Sinica. He is a co-editor of the Journal of Econometrics and an associate editor of the Journal of the American Statistical Association. Qiwei Yao is Professor of Statistics at the London School of Economics and Political Science. He is an associate editor for the Journal of the American Statistical Association and for the Journal of the Royal Statistical Society: Series B.

'The Elements of Financial Econometrics is a compact introduction to quantitative methods for financial professionals who want to improve their quantitative skill set. The book is a survey of the statistical tools and associated applications needed by those who seek to use quantitative methods and empirical rigor in their analyses.' Nick Ronalds, Financial Analysts Journal

• 1. Asset returns; 2. Linear time series models; 3. Heteroscedastic volatility models; 4. Multivariate time series analysis; 5. Efficient portfolios and capital asset pricing model; 6. Factor pricing models; 7. Portfolio allocation and risk assessment; 8. Consumption-based CAPM; 9. Present-value models; References; Author index; Subject index.