New Economics Papers
on Risk Management
Issue of 2006‒06‒17
three papers chosen by



  1. Consistent Measures of Risk By Casper G. de Vries; Mandira Sarma; Bjørn N. Jorgensen; Jean-Pierre Zigrand; Jon Danielsson
  2. What drives the market value of firms in the Defense industry ?. By Gunther Capelle-Blancard; Nicolas Couderc
  3. The Variability of IPO Initial Returns By Michelle Lowry; Micah S. Officer; G. William Schwert

  1. By: Casper G. de Vries; Mandira Sarma; Bjørn N. Jorgensen; Jean-Pierre Zigrand; Jon Danielsson
    Abstract: In this paper we compare overall as well as downside risk measures with respect to the criteria of first and second order stochastic dominance. While the downside risk measures, with the exception of tail conditional expectation, are consistent with first order stochastic dominance, overall risk measures are not, even if we restrict ourselves to two-parameter distributions. Most common risk measures preserve consistent preference orderings between prospects under the second order stochastic dominance rule, although for some of the downside risk measures such consistency holds deep enough in the tail only. Infact, the partial order induced by many risk measures is equivalent to sosd. Tail conditional expectation is not consistent with respect to second order stochastic dominance. In this paper we compare overall as well as downside risk measures with respect to the criteria of first and second order stochastic dominance. While the downside risk measures, with the exception of tail conditional expectation, are consistent with first order stochastic dominance, overall risk measures are not, even if we restrict ourselves to two-parameter distributions. Most common risk measures preserve consistent preference orderings between prospects under the second order stochastic dominance rule, although for some of the downside risk measures such consistency holds deep enough in the tail only. Infact, the partial order induced by many risk measures is equivalent to sosd. Tail conditional expectation is not consistent with respect to second order stochastic dominance.KEY WORDS: stochastic dominance, risk measures, preference ordering,utility theoryJEL Classification: D81, G00, G11
    Date: 2006–05
    URL: http://d.repec.org/n?u=RePEc:fmg:fmgdps:dp565&r=rmg
  2. By: Gunther Capelle-Blancard (Centre d'Economie de la Sorbonne et EconomiX Université Paris Nanterre); Nicolas Couderc (Centre d'Economie de la Sorbonne)
    Abstract: This paper investigates the relative importance of different types of news in driving significant stock price changes of firms in the defense industry. We implement a systematic event study with a sample of the 58 largest publicly listed companies in the defense industry, over the time period 1995-2005. We first identify, for each firm, the statistically significant abnormal returns over the time period, and then we look for information releases likely to cause such stock price movements. We find that stock price movements in the defense industry are, in many ways, influenced by the same events as in other industries (key role of formal earnings announcements or analysts' recommendations) but this industry also has some specific features, in particular the influence of geopolitical events and the relevance and frequency of bids and contracts on stock prices.
    Keywords: Event study, financial markets, defense industry, information releases, GARCH models.
    JEL: G14 G34 L64
    Date: 2005–12
    URL: http://d.repec.org/n?u=RePEc:mse:wpsorb:bla06037&r=rmg
  3. By: Michelle Lowry; Micah S. Officer; G. William Schwert
    Abstract: The monthly volatility of IPO initial returns is substantial and fluctuates dramatically over time. Moreover, the monthly volatility of initial returns is significantly positively correlated with monthly mean initial returns. This contrasts strongly with the strong negative correlation between the mean and volatility of secondary-market returns. Consistent with IPO theory, our empirical findings suggest that information asymmetry about the firm’s market value drives this positive correlation. Specifically, months in which a greater portion of the offerings are for companies for which information asymmetry is likely to be a problem tend to have higher average initial returns and a higher volatility of initial returns. Moreover, information asymmetry proxies are able to explain much of the positive correlation between average initial returns and the variability of initial returns, and the same proxies are significantly associated with both the level and dispersion of initial returns at the firm level.
    JEL: G32 G24 G14
    Date: 2006–06
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:12295&r=rmg

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