Adverse Selection,Investor Experience and Security Choice in Venture Capital Finance: Evidence from Germany

This article analyses 336 German venture capital transactions from 1990 to 2005 and seeks to determine why selected financial securities differ across deals. We find that a broad array of financial instruments is used, covering straight equity, mezzanine and debt‐like securities. Based on the chosen financial securities’ upside potential and downside protection characteristics, we provide an explanation for the differing use of these securities. Our results show that investors’ deal experience, adverse selection risks and economic prospects in the public equity market influence the selection of financial securities.     

Determinants of market beta: the impacts of firm-specific accounting figures and market conditions

This article examines and extends research on the relation between the capital asset pricing model market beta, accounting risk measures and macroeconomic risk factors. We employ a beta decomposition approach that nests competing models with different business risk proxies and allows to frame cross-model comparison. Because model tests require estimated independent variables resulting in measurement error, we empirically estimate three comparable model specifications with instrumental variable estimators and for the first time provide thorough instrument diagnostics in this setting. Correcting for the heretofore neglected weak instruments problem we find that growth risk (i.e., the risk of firm sales variations that are inconsistent with the market wide trends), is the business risk that explains cross-sectional variations in market beta best.     

To buy or not to buy? The value of contradictory analyst signals

We study the predictive ability of individual analyst target price changes for post-event abnormal stock returns within each recommendation category. Although prior studies generally demonstrate the investment value of target prices, we find that target price changes do not cause abnormal returns within each recommendation level. Instead, contradictory analyst signals (e.g., strong buy reiterations with large target price decreases) neutralize each other, whereas confirmatory signals reinforce each other. Further, our analysis reveals that large target price downgrades can be explained by preceding stock price decreases. However, upgrades are not preceded by stock price increases, thereby demonstrating asymmetric analyst behavior when adjusting target prices to stock prices. Our results suggest that investors should treat recommendations with caution when they are issued with large contradictory target price changes. Thus, instead of blindly following a recommendation, investors might put more weight on the change in the corresponding target price and consider transaction costs.     

The Relevance of Financial versus Non-Financial Information for the Valuation of Venture Capital-Backed Firms

This study examines the relevance of financial and non-financial information for the valuation of venture capital (VC) investments. Based on a hand-collected data set on venture-backed start-ups in Germany, we investigate the internal due diligence documents of over 200 investment rounds. We document that balance sheet and income statement items capture as much economic content as verifiable non-financial information (e.g. team experience or the number of patents) while controlling for several deal characteristics (e.g. industry, investment round, or yearly VC fund inflows). In addition, we show that valuations based on accounting and non-accounting information yield a level of valuation accuracy that is comparable to that of publicly traded firms. Further analyses show that the industry-specific total asset multiples outperform the popular revenue multiples but lead to significantly less accurate results than those obtained from the more comprehensive valuation models. Overall, our findings might inform researchers and standard-setters of the usefulness of accounting information for investment companies and provide additional evidence to gauge the overall valuation accuracy in VC settings.     

Extended Dividend,Cash Flow,and Residual Income Valuation Models: Accounting for Deviations from Ideal Conditions*

Previous empirical studies derive the standard equity valuation models (i.e., DDM, RIM, and DCF model) while assuming that ideal conditions, such as infinite payoffs and clean surplus accounting, exist. Because these conditions are rarely met, we extend the standard models by following the fundamental principle of financial statement articulation. We then empirically test the extended models by employing two sets of forecasts: (1) the analyst forecasts provided by Value Line, and (2) the forecasts generated by cross‐sectional regression models. The main result is that our extended models yield considerably smaller valuation errors. Moreover, by constructing these models, we obtain identical value estimates across the extended models. By reestablishing empirical equivalence under nonideal conditions, our approach provides a benchmark that enables us to quantify the errors caused by individual deviations from ideal conditions and thus to analyze the robustness of the standard models. Finally, by providing a level playing field for the different valuation models, our findings have implications for other empirical approaches, for example, estimating the implied cost of capital.     

总线技术引领汽车网络新潮流

勿庸置疑,汽车电子已体现出网络化的发展方向,车载网络成为汽车电子领域发展的最大热点。提高控制单元间控制可靠性和降低成本的网络总线技术应用成为驱动力所在,包括CAN、LIN、FlexRey 及IDB1394等在内的总线已经成为