Stephen Taylor (economist)
Quick Facts
Biography
Stephen John Taylor (born 1954) is a British Professor of Finance at Lancaster University Management School, an authority on stochastic volatility models and option prices, a regular keynote speaker on financial econometrics and mathematical finance and an author who has published academic text books and extensive influential learned papers in Mathematical Finance, the Journal of Financial and Quantitative Analysis, the Journal of Econometrics and ‘other premier academic journals’.
Early years
Stephen John Taylor was born in 1954 and educated at Bedford Modern School, Trinity College, Cambridge (BA) and the University of Lancaster (MA and PhD).
Career
Taylor has spent his academic career at Lancaster University where he has been Lecturer in Operational Research (1977–88), Lecturer in Finance (1988–89), Reader in Finance (1989–93) and Professor of Finance since 1993.
Taylor’s current interests include one-minute stock index returns, jumps in asset prices, model-free measures of volatility and forward-looking information revealed by option prices.
In addition to his work at Lancaster University, Taylor has been an associate editor of several journals including the Journal of Banking and Finance and Mathematical Finance.
Taylor has also been a Visiting Professor at several universities around the world including Beijing University, National Taiwan University, Monash University, University of Queensland, University of Canterbury, University of Auckland, Institute for Advanced Studies (Vienna) and the Norwegian University of Science and Technology.
Selected works
Books
- S.J. Taylor, 1986 & 2008, Modelling Financial Time Series, John Wiley & Sons (first edition) and World Scientific Publishing (second edition)
- R.M.C. Guimaraes, B.G. Kingsman and S.J. Taylor (editors), 1989, A Reappraisal of the Efficiency of Financial Markets, Springer-Verlag
- S.J. Taylor, 2005, Asset Price Dynamics, Volatility and Prediction, Princeton University Press
Most highly cited papers
- S.J. Taylor, 1982 & 2005, Financial returns modelled by the product of two stochastic processes …., reprinted in Stochastic Volatility: Selected Readings, Neil Shephard editor, Oxford University Press, 60-82
- S. Poon and S.J. Taylor, 1992, Stock returns and volatility: an empirical study of the U.K. stock market, Journal of Banking and Finance 16, 37-59
- S.J. Taylor, 1994, Modelling stochastic volatility: a review and comparative study, Mathematical Finance 4, 183-204
- X. Xu and S.J. Taylor, 1994, The term structure of volatility implied by foreign exchange options, Journal of Financial and Quantitative Analysis 29, 57-74
- S.J. Taylor and X. Xu, 1997, The incremental volatility information in one million foreign exchange quotations, Journal of Empirical Finance 4, 317-340
- B.J. Blair, S. Poon and S.J. Taylor, 2001, Forecasting S&P 100 volatility: the incremental information content of implied volatilities and high-frequency index returns, Journal of Econometrics, 105, 5-26
- S. Pong, M.B. Shackleton, S.J. Taylor and X. Xu, 2004, Forecasting currency volatility: a comparison of implied volatilities and AR(FI)MA models, Journal of Banking and Finance 28, 2541-2563
- Sohnke M. Bartram, S.J. Taylor and Y. Wang, 2002, The Euro and European financial market dependence, Journal of Banking and Finance, 31, 1461-1481
Recent topics
- X. Liu, M.B. Shackleton, S.J. Taylor and X. Xu, 2007, Closed-form transformations from risk-neutral to real-world densities, Journal of Banking and Finance 31, 1501-1520
- M.B. Shackleton, S.J. Taylor and P. Yu, 2010, A multi-horizon comparison of density forecasts for the S&P 500 using index returns and option prices, Journal of Banking and Finance 34, 2678-2693
- D. Gilder, M.B. Shackleton and S.J. Taylor, 2014, Cojumps in stock prices: empirical evidence, Journal of Banking and Finance 40, 443-459
- "Modelling Financial Time Series". Retrieved 9 December 2015.
- "A Reappraisal of the Efficiency of Financial Markets". Retrieved 13 January 2015.
- "Taylor, S.J.: Asset Price Dynamics, Volatility, and Prediction (eBook and Paperback).". Retrieved 13 January 2015.
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