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This paper analyzes the impact of blockownership dispersion on firm value. Blockholdings by multiple blockholders is a widespread phenomenon in the U.S. market. It is not clear, however, whether dispersion among blockholder is preferable to having a more concentrated ownership structure. To test for the direction of the effect, we use a large dataset of U.S. firms that combines blockholder information, shareholder rights information, debt ratings, accounting information, and financial markets information. We find that a large fraction of aggregated block ownership negatively affects Tobin’s Q. The negative impact is larger if blockowners are more dispersed, suggesting that a concentrated ownership structure is to be preferred on average. Results are robust to controlling for blockholder type as well as proxies for shareholder rights. Our empirical findings are also confirmed if we study the impact of ownership dispersion on firm debt ratings rather than Tobin’s Q. JEL Classification: G3, G32
We estimate the risk and expected returns of private equity investments based on the market prices of exchange traded funds of funds that invest in unlisted private equity funds. Our results indicate that the market expects unlisted private equity funds to earn abnormal returns of about one to two percent. We also find that the market expects listed private equity funds to earn zero to marginally negative abnormal returns net of fees. Both listed and unlisted private equity funds have market betas close to one and positive factor loadings on the Fama-French SMB factor. Private equity fund returns are positively correlated with GDP growth and negatively correlated with the credit spread. Finally, we find that market returns of exchange traded funds of funds and listed private equity funds predict changes in self-reported book values of unlisted private equity funds.
A call on art investments
(2010)
The art market has seen boom and bust during the last years and, despite the downturn, has received more attention from investors given the low interest environment following the financial crisis. However, participation has been reserved for a few investors and the hedging of exposures remains dificult. This paper proposes to overcome these problems by introducing a call option on an art index, derived from one of the most comprehensive data sets of art market transactions. The option allows investors to optimize their exposure to art. For pricing purposes, non-tradability of the art index is acknowledged and option prices are derived in an equilibrium setting as well as by replication arguments. In the former, option prices depend on the attractiveness of gaining exposure to a previously non-traded risk. This setting further overcomes the problem of art market exposures being dificult to hedge. Results in the replication case are primarily driven by the ability to reduce residual hedging risk. Even if this is not entirely possible, the replication approach serves as pricing benchmark for investors who are significantly exposed to art and try to hedge their art exposure by selling a derivative. JEL Classification: G11, G13, Z11
The objective of this study is to determine whether specific industries across countries or within countries are more likely to reach a stage of profitability and make a successful exit. In particular, we assess whether firms in certain industries are more prone to exit via IPO, be acquired, or exit through a leveraged buy-out. We are also interested in analyzing whether substantial differences across industries and countries arise when looking separately at the success’ rate of firms which have received venture funding at the early seed and start-up stages, vis-à-vis firms that received funding at later stages. Our results suggest that, inasmuch as some of the differences in performance can be explained by country-specific factors, there are also important idiosyncratic differences across industries: In particular, firms in the biotech and the medical / health / life science sectors tend to be significantly more likely to have a successful exit via IPO, while firms in the computer industry and communications and media are more prone to exit via merger or acquisition. Key differences across industries also emerge when considering infant versus mature firms, and their preferred exit. JEL Classification: G24, G3 Keywords:
This study develops a novel 2-step hedonic approach, which is used to construct a price index for German paintings. This approach enables the researcher to use every single auction record, instead of only those auction records that belong to a sub-sample of selected artists. This results in a substantially larger sample available for research and it lowers the selection bias that is inherent in the traditional hedonic and repeat sales methodologies. Using a unique sample of 61,135 auction records for German artworks created by 5,115 different artists over the period 1985 to 2007, we find that the geometric annual return on German art is just 3.8 percent, with a standard deviation of 17.87 percent. Although our results indicate that art underperforms the market portfolio and is not proportionally rewarded for downside risk, under some circumstances art should be included in an optimal portfolio for diversification purposes.
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 focuses on dynamic interactions of equity prices among theoretically related assets. We explore the existence of intraday non-linearities in the FTSE 100 cash and futures indices. We test whether the introduction of the electronic trading systems in the London Stock Exchange in 1997 and in the London International Financial Futures and Options Exchange (LIFFE) in 1999 has eliminated the non-linear dynamic relationship in the FTSE 100 markets. We show that the introduction of the electronic trading systems in the FTSE 100 markets has increased the efficiency of the markets by enhancing the price discovery process, namely by facilitating the increase of the speed of adjustment of the futures and cash prices to departures of the mispricing error from its non-arbitrage band. Nevertheless, we conclude that the automation of the markets has not completely eliminated the non-linear properties of the FTSE 100 cash and futures return series. JEL Classification: G12, G14, G15
We study the relation between the credit cycle and macro economic fundamentals in an intensity based framework. Using rating transition and default data of U.S. corporates from Standard and Poor’s over the period 1980–2005 we directly estimate the credit cycle from the micro rating data. We relate this cycle to the business cycle, bank lending conditions, and financial market variables. In line with earlier studies, these variables appear to explain part of the credit cycle. As our main contribution, we test for the correct dynamic specification of these models. In all cases, the hypothesis of correct dynamic specification is strongly rejected. Moreover, accounting for dynamic mis-specification, many of the variables thought to explain the credit cycle, turn out to be insignificant. The main exceptions are GDP growth, and to some extent stock returns and stock return volatilities. Their economic significance appears low, however. This raises the puzzle of what macro-economic fundamentals explain default and rating dynamics. JEL Classification: G11, G21
We examine the empirical predictions of a real option-pricing model using a large sample of data on mergers and acquisitions in the U.S. banking sector. We provide estimates for the option value that the target bank has in waiting for a higher bid instead of accepting an initial tender offer. We find empirical support for a model that estimates the value of an option to wait in accepting an initial tender offer. Market prices reflect a premium for the option to wait to accept an offer that has a mean value of almost 12.5% for a sample of 424 mergers and acquisitions between 1997 and 2005 in the U.S. banking industry. Regression analysis reveals that the option price is related to both the price to book market and the free cash flow of target banks. We conclude that it is certainly in the shareholders best interest if subsequent offers are awaited. JEL Classification: G34, C10
Deviations from normality in financial return series have led to the development of alternative portfolio selection models. One such model is the downside risk model, whereby the investor maximizes his return given a downside risk constraint. In this paper we empirically observe the international equity allocation for the downside risk investor using 9 international markets’ returns over the last 34 years. The results are stable for various robustness checks. Investors may think globally, but instead act locally, due to greater downside risk. The results provide an alternative view of the home bias phenomenon, documented in international financial markets. JEL Classification: G11, G12, G15