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The VIX as Stochastic Volatility for Corporate Bonds

Published 29 Oct 2024 in q-fin.ST and stat.AP | (2410.22498v5)

Abstract: Classic stochastic volatility models assume volatility is unobservable. We use the Volatility Index: S&P 500 VIX to observe it, to easier fit the model. We apply it to corporate bonds. We fit autoregression for corporate rates and for risk spreads between these rates and Treasury rates. Next, we divide residuals by VIX. Our main idea is such division makes residuals closer to the ideal case of a Gaussian white noise. This is remarkable, since these residuals and VIX come from separate market segments. Similarly, we model corporate bond returns as a linear function of rates and rate changes. Our article has two main parts: Moody's AAA and BAA spreads; Bank of America investment-grade and high-yield rates, spreads, and returns. We analyze long-term stability of these models.

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References (9)
  1. Lorenzo Bergomi. Stochastic Volatility Modeling. Chapman & Hall/CRC.
  2. Tim Bollerslev (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics 31 (3), 307–327.
  3. Andreas Brandt (1986). The Stochastic Equation Yn+1=An⁢Yn+Bnsubscript𝑌𝑛1subscript𝐴𝑛subscript𝑌𝑛subscript𝐵𝑛Y_{n+1}=A_{n}Y_{n}+B_{n}italic_Y start_POSTSUBSCRIPT italic_n + 1 end_POSTSUBSCRIPT = italic_A start_POSTSUBSCRIPT italic_n end_POSTSUBSCRIPT italic_Y start_POSTSUBSCRIPT italic_n end_POSTSUBSCRIPT + italic_B start_POSTSUBSCRIPT italic_n end_POSTSUBSCRIPT with Stationary Coefficients. Advances in Applied Probability 18 (1), 211–220.
  4. Joshua C.C. Chan (2013). Moving Average Stochastic Volatility Models with Application to Inflation Forecast. Journal of Econometrics 176 (2), 162–172.
  5. Sean P. Meyn, Richard L. Tweedie (2009). Markov Chains and Stochastic Stability. Second edition.
  6. Jihyun Park, Andrey Sarantsev (2024). Log Heston Model for Monthly Average VIX. arXiv:2410.22471.
  7. Eugene Seneta (2004). Fitting the Variance-Gamma Model to Financial Data. Journal of Applied Probability 41, 177–187.
  8. Stephen J. Taylor (1994). Modeling Stochastic Volatility: A Review and Comparative Study. Mathematical Finance 4 (2), 183–204.
  9. Neil Shephard (2005). Stochastic Volatility: Selected Readings. Oxford University Press.
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