Abstract
This study discusses how to compute and forecast long-term stock return volatilities, typically with a five-year horizon or longer, using credit derivatives, and how such volatilities can be used in different areas ranging from the valuation of employee stock options and other long-term derivatives to the construction of market-based fear gauges in selected countries or market segments. In the empirical part of the paper I focus on the European financial sector and find the credit-implied volatilities and fear gauges to behave well. The forecasting accuracy of the credit-implied volatilities is found to be better than that of horizon-matched historical volatilities. (c) 2014 The Authors. Journal of Futures Markets Published by Wiley Periodicals, Inc. Jrl Fut Mark 35:753-775, 2015
Original language | English |
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Pages (from-to) | 753-775 |
Number of pages | 46 |
Journal | Journal of Futures Markets |
Volume | 35 |
Issue number | 8 |
DOIs | |
Publication status | Published - 2015 |
Subject classification (UKÄ)
- Economics
Free keywords
- credit default swaps
- implied volatility
- CreditGrades
- VIX
- fear gauge
- long-term forecast