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While companies have emerged as very proactive donors in the wake of recent major disasters like Hurricane Katrina, it remains unclear whether that corporate generosity generates benefits to firms themselves. The literature on strategic philanthropy suggests that such philanthropic behavior may be valuable because it can generate direct and indirect benefits to the firm, yet it is not known whether investors interpret donations in this way. We develop hypotheses linking the strategic character of donations to positive abnormal returns. Using event study methodology, we investigate stock market reactions to corporate donation announcements by 108 US firms made in response to Hurricane Katrina. We then use regression analysis to examine if our hypothesized predictors are associated with positive abnormal returns. Our results show that overall, corporate donations were linked to neither positive nor negative abnormal returns. We do, however, see that a number of factors moderate the relationship between donation announcements and abnormal stock returns. Implications for theory and practice are discussed.
This paper investigates how US and European equity markets affected the US dollar-euro rate from the introduction of the euro through April 2001. More detailed the following questions are raised: First, do movements in the stock market help to explain movements in the exchange rate? Second, how large is the impact of stock market returns on the exchange rate? And third, does the exchange rate respond differently to different equity markets? The investigation was carried out using daily data within a vector-autoregression model (VAR). Surprisingly, positive returns on US equities as well as on European stock markets had a negative impact on the US dollar-euro rate. Quantitatively, the US dollar-euro rate seems to be more influenced by European stock markets compared to US stock markets. Further, there is evidence for a somewhat weaker impact of technology stock indices on the US dollar-euro rate compared with broader market indices. Finally, the long-term interest rate differential seems to contain more information about exchange rate movements than the short-term interest rate differential. This Version: August, 2001. Klassifikation: C32, F31
Both unconditional mixed-normal distributions and GARCH models with fat-tailed conditional distributions have been employed for modeling financial return data. We consider a mixed-normal distribution coupled with a GARCH-type structure which allows for conditional variance in each of the components as well as dynamic feedback between the components. Special cases and relationships with previously proposed specifications are discussed and stationarity conditions are derived. An empirical application to NASDAQ-index data indicates the appropriateness of the model class and illustrates that the approach can generate a plausible disaggregation of the conditional variance process, in which the components' volatility dynamics have a clearly distinct behavior that is, for example, compatible with the well-known leverage effect. Klassifikation: C22, C51, G10
This paper analyzes a comprehensive data set of 108 non venture-backed, 58 venture-backed and 33 bridge financed companies going public at Germany s Neuer Markt between March 1997 and March 2000. I examine whether these three types of issues differ with regard to issuer characteristics, balance sheet data or offering characteristics. Moreover, this empirical study contributes to the underpricing literature by focusing on the complementary or rather competing role of venture capitalists and underwriters in certifying the quality of a company when going public. Companies backed by a prestigious venture capitalist and/or underwritten by a top bank are expected to show less underpricing at the initial public offering (IPO) due to a reduced ex-ante uncertainty. This study provides evidence to the contrary: VC-backed IPOs appear to be more underpriced than non VCbacked IPOs.
This paper analyzes a comprehensive data set of 160 non venture-backed, 79 venture-backed and 61 bridge financed companies going public at Germany´s Neuer Markt between March 1997 and March 2002. I examine whether these three types of issues differ with regard to issuer characteristics, balance sheet data or offering characteristics. Moreover, this empirical study contributes to the underpricing literature by focusing on the complementary or rather competing role of venture capitalists and underwriters in certifying the quality of a company when going public. Companies backed by a prestigious venture capitalist and/or underwritten by a top bank are expected to show less underpricing at the initial public offering (IPO) due to a reduced ex-ante uncertainty. This analysis provides evidence to the contrary: VC-backed IPOs appear to be more underpriced than non VC-backed IPOs.
Forecasting stock market volatility and the informational efficiency of the DAX-index options market
(2002)
Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecasting experiments implied-volatility information, derived from contemporaneously observed option prices or history-based volatility predictors, such as GARCH models, are investigated, to determine if they are more appropriate for predicting future return volatility. Employing German DAX-index return data it is found that past returns do not contain useful information beyond the volatility expectations already reflected in option prices. This supports the efficient market hypothesis for the DAX-index options market.
Regulations in the pre-Sarbanes–Oxley era allowed corporate insiders considerable flexibility in strategically timing their trades and SEC filings, for example, by executing several trades and reporting them jointly after the last trade. We document that even these lax reporting requirements were frequently violated and that the strategic timing of trades and reports was common. Event study abnormal re-turns are larger after reports of strategic insider trades than after reports of otherwise similar nonstrategic trades. Our results also imply that delayed reporting is detrimental to market efficiency and lend strong support to the more stringent trade reporting requirements established by the Sarbanes–Oxley Act. JEL Classification: G14, G30, G32 Keywords: Insider Trading , Directors' Dealings , Corporate Governance , Market Efficiency