Buchbesprechung: Corporate Risk Management— Cash Flow at Risk und Value at Risk von Peter Hager

RISKNEWS ◽  
2004 ◽  
Vol 1 (3) ◽  
pp. 71-72
Author(s):  
Frank Romeike
2015 ◽  
Vol 31 (4) ◽  
pp. 1579
Author(s):  
Frantz Maurer

<p>Risk management techniques first developed by, and for, banks are now being adopted by non-financial corporations. However, while firms are already engaged in activities intended to develop their risk management practices, they often do not possess risk measures focused on key corporate financial results such as earnings or cash flow. The main contribution of this paper is to develop a cash flow-based risk measure conditional on specific company-level factors. With U.S. firm-level data, we present evidence that Cash Flow-at-Risk and Expected shortfall differ across main non-financial industries. Our results call for renewed attention to the role that VaR-type measures for cash flow can play in empirical studies dedicated to corporate risk analysis, and with respect to corporate-level risk management purposes.</p>


2007 ◽  
Vol 10 (2) ◽  
pp. 47-72
Author(s):  
Gregory Brown ◽  
Zeigham Khokher

Author(s):  
Peter Christoffersen ◽  
Amrita Nain ◽  
Jaideep S. Oberoi

2021 ◽  
Vol 68 ◽  
pp. 101935
Author(s):  
Ulrich Hege ◽  
Elaine Hutson ◽  
Elaine Laing

2007 ◽  
Vol 19 (4) ◽  
pp. 82-93 ◽  
Author(s):  
Ekaterina E. Emm ◽  
Gerald D. Gay ◽  
Chen-Miao Lin

2018 ◽  
Vol 21 (02) ◽  
pp. 1850010 ◽  
Author(s):  
Yam Wing Siu

This paper examines the predicting power of the volatility indexes of VIX and VHSI on the future volatilities (or called realized volatility, [Formula: see text] of their respective underlying indexes of S&P500 Index, SPX and Hang Seng Index, HSI. It is found that volatilities indexes of VIX and VHSI, on average, are numerically greater than the realized volatilities of SPX and HSI, respectively. Further analysis indicates that realized volatility, if used for pricing options, would, on some occasions, result in greatest losses of 2.21% and 1.91% of the spot price of SPX and HSI, respectively while the greatest profits are 2.56% and 2.93% of the spot price of SPX and HSI, respectively, making it not an ideal benchmark for validating volatility forecasting techniques in relation to option pricing. Hence, a new benchmark (fair volatility, [Formula: see text] that considers the premium of option and the cost of dynamic hedging the position is proposed accordingly. It reveals that, on average, options priced by volatility indexes contain a risk premium demanded by the option sellers. However, the options could, on some occasions, result in greatest losses of 4.85% and 3.60% of the spot price of SPX and HSI, respectively while the greatest profits are 4.60% and 5.49% of the spot price of SPX and HSI, respectively. Nevertheless, it can still be a valuable tool for risk management. [Formula: see text]-values of various significance levels for value-at-risk and conditional value-at-value have been statistically determined for US, Hong Kong, Australia, India, Japan and Korea markets.


2021 ◽  
Vol 23 (3) ◽  
pp. 1-4
Author(s):  
Adam Bernstein

Insurance is a product that no one wants to buy. However, it is essential, as it is not only legally mandated, but is also a matter of corporate risk management. The question is how homes get the best deal without cutting cover. Adam Bernstein advises on how homes can get the best deal without cutting cover.


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