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Essays on the Predictive Content of Option Prices and Tail Uncertainty of Asset Returns.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Essays on the Predictive Content of Option Prices and Tail Uncertainty of Asset Returns./
作者:	Apergis, Iraklis.
面頁冊數:	1 online resource (139 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-06, Section: A.
Contained By:	Dissertations Abstracts International84-06A.
標題:	Statistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30192798click for full text (PQDT)
ISBN:	9798358410237

Essays on the Predictive Content of Option Prices and Tail Uncertainty of Asset Returns.
Apergis, Iraklis.

Essays on the Predictive Content of Option Prices and Tail Uncertainty of Asset Returns. - 1 online resource (139 pages)

Source: Dissertations Abstracts International, Volume: 84-06, Section: A.

Thesis (Ph.D.)--University of Kent (United Kingdom), 2022.

Includes bibliographical references

This thesis explores two key elements that have been the subject of academic and practical review for many years. First is the identification of predictors of the equity premium, and second is the construction of a profitable portfolio. The first two empirical studies employ established techniques that can categorise predictors as either strong, relatively strong, or weak, based on their predictive performance across different parts of their distribution (quantiles), alongside other techniques that combine forecasts from different univariate, or multivariate models. The academic literature for the last years has conformed around the validity of certain economic indicators, which this thesis aims to expand by employing information from the option markets. In the first exercise, the information from the CBOE indices is targeted, with a somewhat weak performance in generating out-of-sample point forecasts. The VIX index was the dominantly selected variable out of all the CBOE indices. While there were no significant values across allquantiles consistently, all in all, there is evidence that some of the indices have predictive information on a few selected quantile levels. The second exercise further expands from the indices and employs directly option-implied information from the market. These,now daily frequented, variables were consistently selected by the penalising out-of-sample algorithm, and proved to be selected over any of the other economic variables that the literature had already established. Density forecasts were as well created. However, there was some evidence to suggest that only a minority of the option-implied information could provide significant density forecasts. The final exercise inspired by the density forecasts employs a Bayesian approach in order to estimate future values and risk of the asset's distributional parameters. This application allowed for creating a constantly short-long position that proved to yield a positive cumulative return by the end of the trading positions.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798358410237Subjects--Topical Terms:

517247
Statistics.
Index Terms--Genre/Form:

542853
Electronic books.

Essays on the Predictive Content of Option Prices and Tail Uncertainty of Asset Returns.
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520 $a This thesis explores two key elements that have been the subject of academic and practical review for many years. First is the identification of predictors of the equity premium, and second is the construction of a profitable portfolio. The first two empirical studies employ established techniques that can categorise predictors as either strong, relatively strong, or weak, based on their predictive performance across different parts of their distribution (quantiles), alongside other techniques that combine forecasts from different univariate, or multivariate models. The academic literature for the last years has conformed around the validity of certain economic indicators, which this thesis aims to expand by employing information from the option markets. In the first exercise, the information from the CBOE indices is targeted, with a somewhat weak performance in generating out-of-sample point forecasts. The VIX index was the dominantly selected variable out of all the CBOE indices. While there were no significant values across allquantiles consistently, all in all, there is evidence that some of the indices have predictive information on a few selected quantile levels. The second exercise further expands from the indices and employs directly option-implied information from the market. These,now daily frequented, variables were consistently selected by the penalising out-of-sample algorithm, and proved to be selected over any of the other economic variables that the literature had already established. Density forecasts were as well created. However, there was some evidence to suggest that only a minority of the option-implied information could provide significant density forecasts. The final exercise inspired by the density forecasts employs a Bayesian approach in order to estimate future values and risk of the asset's distributional parameters. This application allowed for creating a constantly short-long position that proved to yield a positive cumulative return by the end of the trading positions.
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