Alexandridis, Antonios K and Apergis, Iraklis and Panopoulou, Ekaterini and Voukelatos, Nikolaos (2023) Equity premium prediction: The role of information from the options market. Journal of Financial Markets, 64. p. 100801. DOI https://doi.org/10.1016/j.finmar.2022.100801
Alexandridis, Antonios K and Apergis, Iraklis and Panopoulou, Ekaterini and Voukelatos, Nikolaos (2023) Equity premium prediction: The role of information from the options market. Journal of Financial Markets, 64. p. 100801. DOI https://doi.org/10.1016/j.finmar.2022.100801
Alexandridis, Antonios K and Apergis, Iraklis and Panopoulou, Ekaterini and Voukelatos, Nikolaos (2023) Equity premium prediction: The role of information from the options market. Journal of Financial Markets, 64. p. 100801. DOI https://doi.org/10.1016/j.finmar.2022.100801
Abstract
We examine the role of information from the options market in forecasting the equity premium. We provide 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. 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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Uncontrolled Keywords: | Equity premium; Forecasting; Options; Quantile regression |
Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Essex Business School |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 08 Jun 2023 15:33 |
Last Modified: | 16 May 2024 21:39 |
URI: | http://repository.essex.ac.uk/id/eprint/34542 |
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