His primary areas of investigation include Volatility, Econometrics, Realized variance, Stochastic volatility and Forward volatility. His Volatility research incorporates elements of Exchange rate and Liberian dollar. His work in the fields of Econometrics, such as Capital asset pricing model and Heteroscedasticity, overlaps with other areas such as Weighting.
The various areas that he examines in his Realized variance study include Martingale, Estimator, Predictability and Covariance. Torben G. Andersen interconnects Copula and Cointegration in the investigation of issues within Forward volatility. His work focuses on many connections between Implied volatility and other disciplines, such as Volatility smile, that overlap with his field of interest in Volatility swap.
His primary areas of study are Econometrics, Volatility, Stochastic volatility, Realized variance and Financial economics. The concepts of his Econometrics study are interwoven with issues in Exchange rate, Predictability, Equity and Liberian dollar. His study in Volatility is interdisciplinary in nature, drawing from both Capital asset pricing model and Futures contract.
His Stochastic volatility study combines topics from a wide range of disciplines, such as Asset return, Estimator and Monte Carlo method. His Realized variance research includes elements of Autoregressive conditional heteroskedasticity, Covariance, Cointegration and Quadratic variation. His studies in Volatility smile integrate themes in fields like Volatility swap, Risk premium and Moneyness.
Torben G. Andersen spends much of his time researching Volatility, Econometrics, Stochastic volatility, Financial economics and Futures contract. Volatility and Predictive power are two areas of study in which Torben G. Andersen engages in interdisciplinary research. His studies deal with areas such as Market microstructure, Semimartingale and Autocorrelation as well as Econometrics.
His Autocorrelation research is multidisciplinary, incorporating perspectives in Error detection and correction and Realized variance. The Stochastic volatility study combines topics in areas such as Implied volatility, Statistical hypothesis testing, Endogeneity, Spurious relationship and Volatility smile. His Volatility smile study incorporates themes from Volatility swap and Moneyness.
The scientist’s investigation covers issues in Volatility, Econometrics, Financial economics, Stochastic volatility and Implied volatility. His work on Return volatility as part of general Volatility study is frequently linked to Predictive power, therefore connecting diverse disciplines of science. His research in Econometrics intersects with topics in Proxy and Equity.
His Financial economics study combines topics from a wide range of disciplines, such as Endogeneity, Error detection and correction and Autocorrelation. His Stochastic volatility course of study focuses on Market risk and Capital asset pricing model, Financial risk, Financial econometrics, Financial risk management and Risk management tools. As part of one scientific family, Torben G. Andersen deals mainly with the area of Implied volatility, narrowing it down to issues related to the Volatility smile, and often Volatility swap and Risk premium.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
MODELING AND FORECASTING REALIZED VOLATILITY
Torben G. Andersen;Tim Bollerslev;Francis X. Diebold;Paul Labys.
Econometrica (2003)
MODELING AND FORECASTING REALIZED VOLATILITY
Torben G. Andersen;Tim Bollerslev;Francis X. Diebold;Paul Labys.
Econometrica (2003)
ANSWERING THE SKEPTICS: YES, STANDARD VOLATILITY MODELS DO PROVIDE ACCURATE FORECASTS*
Torben G. Andersen;Tim Bollerslev.
International Economic Review (1998)
ANSWERING THE SKEPTICS: YES, STANDARD VOLATILITY MODELS DO PROVIDE ACCURATE FORECASTS*
Torben G. Andersen;Tim Bollerslev.
International Economic Review (1998)
The Distribution of Realized Exchange Rate Volatility
Torben G Andersen;Tim Bollerslev;Francis X Diebold;Paul Labys.
Journal of the American Statistical Association (2001)
The Distribution of Realized Exchange Rate Volatility
Torben G Andersen;Tim Bollerslev;Francis X Diebold;Paul Labys.
Journal of the American Statistical Association (2001)
The distribution of realized stock return volatility
Torben G. Andersen;Tim Bollerslev;Francis X. Diebold;Heiko Ebens.
Journal of Financial Economics (2001)
The distribution of realized stock return volatility
Torben G. Andersen;Tim Bollerslev;Francis X. Diebold;Heiko Ebens.
Journal of Financial Economics (2001)
Roughing it Up: Including Jump Components in the Measurement, Modeling and Forecasting of Return Volatility
Torben Andersen;Tim Bollerslev;Francis Diebold.
Research Papers in Economics (2007)
Roughing it Up: Including Jump Components in the Measurement, Modeling and Forecasting of Return Volatility
Torben Andersen;Tim Bollerslev;Francis Diebold.
Research Papers in Economics (2007)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Duke University
University of Pennsylvania
University of Toronto
University of Houston
Chinese Academy of Sciences
Duke University
Iowa State University
Harvard University
Columbia University
Boston College
University of Waterloo
Microsoft (United States)
Pondicherry University
Colorado School of Mines
Beijing University of Technology
Chuo University
Hanyang University
Seoul National University
University of New South Wales
The University of Texas MD Anderson Cancer Center
NorthShore University HealthSystem
University of Southern Mississippi
West Virginia University
University of Maryland, College Park
University Health Network
Inserm : Institut national de la santé et de la recherche médicale