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EVENTS

RESEARCH

BETA IN THE TAILS

[ARTICLE] This paper finds that hedge funds often fail to hedge adequately in negative market conditions, showing larger market betas during low market returns due to the dominance of return discontinuities over continuous dynamics.

by Roberto RENO (ESSEC Business School),  Federico M. BANDI

Do hedge funds hedge? In negative states of the world, often not as much as they should. For several styles, we report larger market betas when market returns are low (i.e., “beta in the tails”). We justify this finding through a combination of negative-mean jumps in the market returns and large market jump betas: when moving to the left tail of the market return distribution jump dynamics dominate continuous dynamics and the overall systematic risk of the fund is driven by the higher systematic risk associated with return discontinuities. Methodologically, the separation of continuous and discontinuous dynamics is conducted by exploiting the informational content of the high-order infinitesimal cross-moments of hedge-fund and market returns.

[Please read the research paper here]

Research list
MULTIVARIATE VOLATILITY FORECASTS FOR STOCK MARKET INDICES

MULTIVARIATE VOLATILITY FORECASTS FOR STOCK MARKET INDICES

[ARTICLE] This study forecasts realized variance for major international stock market indices, incorporating jump, continuous, and option-implied variance components, using ...
DYNAMICS OF VARIANCE RISK PREMIA: A NEW MODEL FOR DISENTANGLING THE PRICE OF RISK

DYNAMICS OF VARIANCE RISK PREMIA: A NEW MODEL FOR DISENTANGLING THE PRICE OF RISK

[ARTICLE] This paper presents a dynamic model for the variance risk premium that separates the continuous component from jump impacts, ...
MINIMUM COST NETWORK DESIGN IN STRATEGIC ALLIANCES

MINIMUM COST NETWORK DESIGN IN STRATEGIC ALLIANCES

[ARTICLE] This paper investigates the impact of transaction costs on the viability of strategic alliances in service network design, highlighting ...
PROBABILISTIC FORECASTING OF BUBBLES AND FLASH CRASHES

PROBABILISTIC FORECASTING OF BUBBLES AND FLASH CRASHES

[ARTICLE] This paper proposes a near explosive random coefficient autoregressive model (NERC) to predict probabilities of bubbles and crashes in ...
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