Alexandridis, Antonios, Apergis, Iraklis, Panopoulou, Ekaterini, Voukelatos, Nikolaos (2022) Equity premium prediction: The role of information from the options market. Journal of Financial Markets, 64 . Article Number 100801. ISSN 1386-4181. (doi:10.1016/j.finmar.2022.100801) (KAR id:99299)
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Official URL: https://doi.org/10.1016/j.finmar.2022.100801 |
Abstract
This paper examines the role of information from the options market in forecasting the equity premium. We provide empirical evidence that the equity premium is predictable out-of-sample using a set of CBOE strategy benchmark indices as predictors. We use a range of econometric approaches to generate point, quantile and density forecasts of the equity premium, and we find that models based on option variables consistently outperform the historical average benchmark. In addition to statistical gains, using option predictors results in substantial economic benefits for a mean-variance investor, delivering up to a fivefold increase in certainty equivalent returns over the benchmark during the 1996-2021 sample period.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.finmar.2022.100801 |
Uncontrolled keywords: | Equity premium; Forecasting; Options; Quantile regression |
Subjects: | H Social Sciences > HG Finance |
Divisions: | Divisions > Kent Business School - Division > Department of Accounting and Finance |
Funders: | University of Kent (https://ror.org/00xkeyj56) |
Depositing User: | Nikolaos Voukelatos |
Date Deposited: | 23 Dec 2022 07:26 UTC |
Last Modified: | 27 Oct 2023 13:16 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/99299 (The current URI for this page, for reference purposes) |
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