Estimating Corporate Bond Market Volatility Using Asymmetric GARCH Models

Elroi Hadad (), Amit Malka Fridman and Rami Yosef
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Elroi Hadad: Department of Industrial Engineering and Management, Sami Shamoon College of Engineering, Beer-Sheva 8410802, Israel
Amit Malka Fridman: Department of Business Administration, Guilford Glazer Faculty of Business and Management, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel
Rami Yosef: Department of Business Administration, Guilford Glazer Faculty of Business and Management, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel

Risks, 2025, vol. 13, issue 11, 1-16

Abstract: This study investigates the volatility of the Israeli corporate bond market, where corporate bonds are traded on a Limit Order Book (LOB) exchange with high retail trading activity. Using data from the Tel-Bond 20 and Tel-Bond 60 indices, we estimate various asymmetric GARCH models to capture the dynamics of bond returns. Our findings highlight a leverage effect, where negative shocks have a more significant impact on volatility than positive shocks, underscoring the importance of investor sentiment. The GJR model with a Student’s t -distribution best captures serial correlation, persistence of conditional volatility, and asymmetric volatility clustering. These results have significant implications for risk management, portfolio allocation, and regulatory policies, emphasizing the need for robust volatility forecasting models in transparent and active corporate bond markets.

Keywords: corporate bonds; market efficiency; investor sentiment; volatility; GARCH modeling (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2025
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