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This paper proposes to extract tail risk from a risk-neutral mean-adjusted expected shortfall of high-frequency stock returns. Risk adjustment is based on a nonparametric estimator of the state price density that does not use option prices and relies solely on a stock index returns. This makes...
Persistent link: https://www.econbiz.de/10012851891
Recent asset pricing models of limits to arbitrage emphasize the role of funding conditions faced by financial intermediaries. In the US, the repo market is the key funding market. Then, the premium of on-the-run U.S. Treasury bonds should share a common component with risk premia in other...
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We find strong evidence of a funding risk premium in the cross-section of asset returns. Our estimate for the price of funding risk is robust across Treasury bonds, corporate bonds, equities, and hedge funds. Funding shocks pose a risk to investors because they exacerbate the illiquidity and...
Persistent link: https://www.econbiz.de/10013005363
Following theory, we check that funding risk connects illiquidity, volatility and returns in the cross-section of stocks. We show that the illiquidity and volatility of stocks increase with funding shocks, while contemporaneous returns decrease with funding shocks. The dispersions of...
Persistent link: https://www.econbiz.de/10010496138
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We test whether the six Euler conditions in Section 4.3 of the main paper are satisfied for 10 long-run reversal portfolios, 25 size/investment portfolios, 25 size/operating profitability portfolios and 10 industry portfolios. The tests for Euler conditions are consistent with the model and...
Persistent link: https://www.econbiz.de/10013305871
We propose an asset pricing model featuring time-varying limited participation in both bond and stock markets and household heterogeneity. Households face idiosyncratic income risks but participate in financial markets with a certain probability that depends on their individual income and on...
Persistent link: https://www.econbiz.de/10013307008
"Why did we write this book? We wanted to help financial experts and investors to understand the state-of-the-art of artificial intelligence and machine learning in finance. And so, what is artificial intelligence? The foundations of artificial intelligence lie in the human desire to automate....
Persistent link: https://www.econbiz.de/10014461436