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This paper presents clinically-based studies of two acquisitions that received very different stock market reactions at announcement - one positive and one negative.
This paper presents clinically-based studies of two acquisitions that received very different stock market reactions at announcement - one positive and one negative. Despite the differing market reactions, we find that ultimately neither acquisition created value overall. In exploring the reasons for the acquisition outcomes, we rely primarily on interviews with managers and on internally generated performance data. We compare the results of these analyses to those from analyses of post-acquisition operating and stock price performance traditionally applied to large samples. We draw two primary conclusions. (1) Our findings highlight the difficulty of implementing a successful acquisition strategy and of running an effective internal capital market. Post-acquisition difficulties resulted because: (a) managers of the acquiring company did not deeply understand the target company at the time of the acquisition; (b) the acquirer imposed an inappropriate organizational design on the target as part of the post-acquisition integration process; and (c) inappropriate management incentives existed at both the top management and division levels. (2) Measures of operating performance used in large sample studies are weakly correlated with actual post-acquisition operating performance.
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Bid-ask spreads due to asymmetric information affect required returns differently than exogenous trading costs - paper shows explicitly how.
An important feature of financial markets is that securities are traded repeatedly by asymmetrically informed investors. We study how current and future adverse selection affect the required return. We find that the bid-ask spread generated by adverse selection is not a cost, on average, for agents who trade, and hence the bid-ask spread does not directly influence the required return. Adverse selection contributes to trading-decision distortions, however, implying allocation costs, which affect the required return. We explicitly derive the effect of adverse selection on required return, and show how our result differs from models that consider the bid-ask spread to be an exogenous cost.
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How unpredictable changes in liquidity affect security returns, developing a novel liquidity-adjusted CAPM.
This paper solves explicitly a simple equilibrium model with liquidity risk. In our liquidity adjusted capital asset pricing model, a security’s required return depends on its expected liquidity as well as on the covariances of its own return and liquidity with the market return and liquidity. In addition, a persistent negative shock to a security’s liquidity results in low contemporaneous returns and high predicted future returns. The model provides a unified framework for understanding the various channels through which liquidity risk may affect asset prices. Our empirical results shed light on the total and relative economic significance of these channels and provide evidence of flight to liquidity.
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The effect of market structure on volume, prices, and welfare with applications to real-world auctions
The seminal paper by Milgrom and Weber (1982) ranks the expected revenues of several auction mechanisms, taking the decision to sell as exogenous. We endogenize the sale decision. The owner decides whether or not to sell, trading off the conditional expected revenue against his own use value, and buyers take into account the information contained in the owner’s sale decision. We show that revenue ranking implies volume and welfare ranking under certain general conditions. We use this to show that, with affiliated signals, English auctions have larger expected price, volume, and welfare than second-price auctions, which in turn have larger expected price, volume, and welfare than first-price auctions.
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In this study, we seek to improve the understanding of what makes a stock a "Buffett stock," the drivers of Berkshire's performance, and how a diversified Buffett-styled portfolio would have performed over the past 30 years.
Berkshire Hathaway has a higher Sharpe ratio than any stock or mutual fund with a history of more than 30 years and Berkshire has a significant alpha to traditional risk factors. However, we find that the alpha become statistically insignificant when controlling for exposures to Betting-Against-Beta and quality factors. We estimate that Berkshire’s average leverage is about 1.6-to-1 and that it relies on unusually low-cost and stable sources of financing. Berkshire’s returns can thus largely be explained by the use of leverage combined with a focus on cheap, safe, quality stocks. We find that Berkshire’s portfolio of publicly-traded stocks outperform private companies, suggesting that Buffett’s returns are more due to stock selection than to a direct effect on management.
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Shorting costs are high for corporate bonds that are of worse credit, more expensive relative to the CDS, have equity on special, smaller issues, and more illiquid.
Using data on all corporate bond loans by one of the world's largest custodian banks, we study the main determinants of shorting costs as measured by rebate rate specialness. We find that 3.0% of corporate bonds are on loan, and 11% of loaned bonds have substantial shorting costs above 50 basis points. In the cross section, specialness is higher for bonds that are of worse credit rating, higher yield spread, smaller issues, less time to maturity, more illiquid, and bonds that appear expensive relative to the corresponding credit default swap. Bonds that are downgraded to speculative grade are more likely to be on special for several weeks before and after the downgrade, and have large shorting activity. Finally, equity specialness is positively related to the firm's bond specialness and the bond-CDS basis.
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How end user demand affects option pricing when dealers cannot perfectly hedge. New theory and unique data.
We model demand-pressure effects on option prices. The model shows that demand pressure in one option contract increases its price by an amount proportional to the variance of the unhedgeable part of the option. Similarly, the demand pressure increases the price of any other option by an amount proportional to the covariance of the unhedgeable parts of the two options. Empirically, we identify aggregate positions of dealers and end-users using a unique dataset, and show that demand-pressure effects make a contribution to wellknown option-pricing puzzles. Indeed, time-series tests show that demand helps explain the overall expensiveness and skew patterns of index options, and cross-sectional tests show that demand impacts the expensiveness of single-stock options as well.
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This paper uses commercial aircraft transactions to show that financially constrained airlines receive lower prices than their unconstrained rivals when selling used narrow-body aircraft.
This paper uses commercial aircraft transactions to determine whether capital constraints cause firms to liquidate assets at discounts to fundamental values. Results indicate that financially constrained airlines receive lower prices than their unconstrained rivals when selling used narrow-body aircraft. Capital constrained airlines are also more likely to sell used aircraft to industry outsiders, especially during market downturns. Further evidence that capital constraints affect liquidation prices is provided by airlines’ asset acquisition activity. Unconstrained airlines significantly increase buying activity when aircraft prices are depressed; this pattern is not observed for financially constrained airlines.
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This paper empirically examines one motive for takeovers: to change control of firms that make acquisitions that diminsh the value of their equity
This paper empirically examines one motive for takeovers: to change control of firms that make acquisitions that diminsh the value of their equity. Firms that subsequently become takeover targets make acquisitions that significantly reduce their equity value, and firms that do not become takeover targets make acquisitions that raise their equity value. Within the sample of acquisition by targets the acquisitions that reduce equity value the most are those that are later divested either in bust-up takeovers or restructuring programs to thwart the takeover. This evidence is consistent with theories advanced by Marris, Manne, and Jensen concerning the disciplinary role played by takeovers.
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Retail investor flows into mutual funds provide a contrarian signal for the underlying stocks, related to the value effect.
We use mutual fund flows as a measure of individual investor sentiment for different stocks, and find that high sentiment predicts low future returns. Fund flows are dumb money–by reallocating across different mutual funds, retail investors reduce their wealth in the long run. This dumb money effect is related to the value effect: high sentiment stocks tend to be growth stocks. High sentiment also is associated with high corporate issuance, interpretable as companies increasing the supply of shares in response to investor demand.
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An analysis of the optimal trading strategy that minimizes transaction costs while efficiently exploiting trading signals. A closed-form solution that illuminates the key role of alpha decay.
This paper derives in closed form the optimal dynamic portfolio policy when trading is costly and security returns are predictable by signals with different mean-reversion speeds. The optimal updated portfolio is a linear combination of the existing port-folio, the optimal portfolio absent trading costs, and the optimal portfolio based on future expected returns and transaction costs. Predictors with slower mean reversion (alpha decay) get more weight since they lead to a favorable positioning both now and in the future. We implement the optimal policy for commodity futures and show that the resulting portfolio has superior returns net of trading costs relative to more naive benchmarks. Finally, we derive natural equilibrium implications, including that demand shocks with faster mean reversion command a higher return premium.
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News from companies with close economic ties (customers and suppliers) is not efficiently priced into stocks.
This paper finds evidence of return predictability across economically linked firms. We test the hypothesis that in the presence of investors subject to attention constraints, stock prices do not promptly incorporate news about economically related firms, generating return predictability across assets. Using a data set of firms’ principal customers to identify a set of economically related firms, we show that stock prices do not incorporate news involving related firms, generating predictable subsequent price moves. A long–short equity strategy based on this effect yields monthly alphas of over 150 basis points.
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This paper uses commercial aircraft transactions to assess the degree to which bankruptcy court protection alleviates costs of financial distress associated with asset sales.
This paper uses commercial aircraft transactions to assess the degree to which bankruptcy court protection alleviates costs of financial distress associated with asset sales. Results indicate that bankruptcy court protection does little to mitigate price discounts associated with distressed asset sales. If anything, the discount is larger for bankrupt firms than for distressed but non-bankrupt rivals. However, bankruptcy protection does appear to limit piecemeal liquidation of distressed airlines. The rate of asset sales is relatively high in the year preceding bankruptcy, but, for airlines that eventually emerge from bankruptcy, the rate of asset sales is reduced after Chapter 11 filing.
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Consistent with investor leverage aversion, asset classes with higher embedded leverage (ETFs, Options, etc) show lower risk-adjusted returns.
Many financial instruments are designed with embedded leverage such as options and leveraged exchange traded funds (ETFs). Embedded leverage alleviates investors’ leverage constraints and, therefore, we hypothesize that embedded leverage lowers required returns. Consistent with this hypothesis, we find that asset classes with embedded leverage offer low risk-adjusted returns and, in the cross-section, higher embedded leverage is associated with lower returns. A portfolio which is long low-embedded-leverage securities and short high-embedded-leverage securities earns large abnormal returns, with t-statistics of 8.2 for equity options, 6.3 for index options, and 2.1 for ETFs. We provide extensive robustness tests and discuss the broader implications of embedded leverage for financial economics.
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Examining the relationship between future returns and stock and bond market yields.
The “Fed model” is a popular yardstick for judging whether the stock market is fairly valued. It compares the stock market's earnings yield to the long-term government bond yield, while more traditional methods evaluate stock market valuation without regard to the level of interest rates. The Fed model is theoretically flawed, as it compares a real number to a nominal number, ignoring the fact that over the long term nominal earnings generally move in tandem with inflation. The crucible for testing a valuation indicator is how well it forecasts long-term returns, and the Fed model fails this test; traditional methods ace it. Lack of predictive ability aside, investors have indeed historically required a higher stock market P/E when nominal interest rates have been lower. This does not imply that the Fed model is valid, rather only that investors have historically followed it, perhaps in error. The relationship of stock and bond market yields is more complicated than conceived by the Fed model, varying systematically with perceptions of long-term stock and bond market risk. Addition of risk to the Fed model solves the puzzle of why stocks outperformed bonds for the first half of the 20th century, but have underperformed bonds since.
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Sell-side analysts hired as independent directors are more optimistic than average. Post-appointment data suggests firms deliberately seek management-friendly board members.
We provide evidence that firms appoint independent directors who are overly sympathetic to management, while still technically independent according to regulatory definitions. We explore a subset of independent directors for whom we have detailed, micro-level data on their views regarding the firm prior to being appointed to the board: sell-side analysts who are subsequently appointed to the boards of companies they previously covered. We find that boards appoint overly optimistic analysts who are also poor relative performers. The magnitude of the optimistic bias is large: 82.0% of appointed recommendations are strong-buy/buy recommendations, compared to 56.9% for all other analyst recommendations. We also show that appointed analysts’ optimism is stronger at precisely those times when firms’ benefits are larger. Lastly, we find that appointing firms are more likely to have management on the board nominating committee, appear to be poorly governed, and increase earnings management and CEO compensation following these boardappointments.
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This paper studies thirty-one highly leveraged transactions (HLTs) of the 1980s that subsequently became financially distressed. The net effect of the HLT and financial distress is a slight increase in value, overall the HLTs of the late 1980s succeeded in creating value.
This paper studies thirty-one highly leveraged transactions (HLTs) of the 1980s that subsequently became financially distressed. At the time of distress, all sample firms have operating margins that are positive and in the majority of cases greater than the median for the industry. Therefore, we consider these firms financially distressed, not economically distressed. The net effect of the HLT and financial distress is a slight increase in value — from pre-transaction to distress resolution, the sample firms experience a marginally positive change in (market- or industry adjusted) value. This finding strongly suggests that, overall, the HLTs of the late 1980s succeeded in creating value. We also present quantitative and qualitative estimates of the (direct and indirect) costs of financial distress and their determinants. Our preferred estimates of the costs of financial distress are 10% of firm value. Our most conservative estimates do not exceed 23% of firm value. Operating margins of the distressed firms increase immediately after the HLT, decline when the firms become distressed and while they are distressed, but then rebound after the distress is resolved. Consistent with some costs of financial distress, we find evidence of unexpected cuts in capital expenditures, undesired asset sales, and costly managerial delay in restructuring. To the extent they occur, the costs of financial distress that we identify are heavily concentrated in the period after the firms become distressed, but before they enter Chapter 11.
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An analysis of sovereign credit risk and CDS spreads, documenting that sovereign credit risk is closely related to US equity and credit markets even relative to local economic conditions.
The sovereign debt market has grown over the past few years, providing an important source of diversification for global portfolios and affecting investment flows and funding costs. The authors examine the drivers of sovereign credit spreads and conclude that global financial factors, rather than country-specific factors, are largely responsible for changes in spreads.
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We investigate the economic role of mergers by performing a comparative study of mergers and internal corporate investment at the industry and firm levels.
We investigate the economic role of mergers by performing a comparative study of mergers and internal corporate investment at the industry and firm levels. We find strong evidence that merger activity clusters through time by industry, whereas internal investment does not. Mergers play both an ‘‘expansionary’’ and ‘‘contractionary’’ role in industry restructuring. During the 1970s and 1980s, excess capacity drove industry consolidation through mergers, while peak capacity utilization triggered industry expansion through non-merger investments. In the 1990s, this phenomenon is reversed, as industries with strong growth prospects, high profitability, and near capacity experience the most intense merger activity.
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Tighter risk management can lead to illiquidity and lower prices. A multiplier effects arises with liquidity-adjusted risk management.
This paper provides a model of the interaction between risk-management practices and market liquidity. Our main finding is that a feedback effect can arise. Tighter risk management leads to market illiquidity, and this illiquidity further tightens risk management.
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The analysis shows (a) cross-sectional dependence of abnormal returns leads to inflated test statistics and (b) estimates of abnormal performance are small, and largely limited to small stocks, after accounting for the known mispricings of the model used to generate the results.
A rapidly growing literature claims to reject the semi-strong form of the efficient market hypothesis by producing large estimates of long-term abnormal stock price performance subsequent to major corporate events. We re-examine three large samples of major managerial decisions, namely acquisitions, equity issues, and equity repurchases, and find little evidence of reliable long-term abnormal stock price performance for the three samples. The analysis shows (a) cross-sectional dependence of abnormal returns leads to inflated test statistics and (b) estimates of abnormal performance are small, and largely limited to small stocks, after accounting for the known mis-pricings of the model used to generate the results.
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Market liquidity and the funding conditions are mutually reinforcing, giving rise to liquidity spirals, fragility, flight to quality, and systemic risk.
We provide a model that links an asset’s market liquidity (i.e., the ease with which it is traded) and traders’ funding liquidity (i.e., the ease with which they can obtain funding). Traders provide market liquidity, and their ability to do so depends on their availability of funding. Conversely, traders’ funding, i.e., their capital and margin requirements, depends on the assets’ market liquidity. We show that, under certain conditions, margins are destabilizing and market liquidity and funding liquidity are mutually reinforcing, leading to liquidity spirals. The model explains the empirically documented features that market liquidity (i) can suddenly dry up, (ii) has commonality across securities, (iii) is related to volatility, (iv) is subject to “flight to quality,” and (v) co-moves with the market. The model provides new testable predictions, including that speculators’ capital is a driver of market liquidity and risk premiums.
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This paper derives two extensions of the Campbell (1991) return decomposition and decompose contemporaneous returns into revisions in expectations, or news, about future dividends, liquidity, and net discount rates.
Liquidity costs are not incurred once, but many times over the lifetime of an asset. Changes in forecasts of future liquidity levels impact contemporaneous prices. I derive two extensions of the Campbell (1991) return decomposition and decompose contemporaneous returns into revisions in expectations, or news, about future dividends, liquidity, and net discount rates. The two decompositions consider, respectively, news about future proportional costs and news about future fixed costs. Using the decompositions, I find that (i) both fixed cost and proportional cost news are substantially more volatile than contemporaneous proportional costs, (ii) fixed cost news is an economically important contributor to portfolio volatility and proportional cost news is not, (iii) small and illiquid stocks have more volatile proportional and fixed cost news and low turnover stocks have more volatile proportional cost news risk and less volatile fixed cost news, and (iv) the market price of risk for both fixed and proportional cost news, estimated within the Liquidity-Adjusted CAPM framework of Acharya and Pedersen (2005), is not statistically different than the price of non-liquidity risk.
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An economic model of how to measure and manage systemic risk, with empirical support from the recent crisis.
We present a simple model of systemic risk and we show that each financial institution's contribution to systemic risk can be measured as its systemic expected shortfall (SES), i.e., its propensity to be undercapitalized when the system as a whole is undercapitalized. SES increases with the institution's leverage and with its expected loss in the tail of the system's loss distribution. Institutions internalize their externality if they are "taxed" based on their SES. We demonstrate empirically the ability of SES to predict emerging risks during the nancial crisis of 2007-2009, in particular, (i) the outcome of stress tests performed by regulators; (ii) the decline in equity valuations of large nancial rms in the crisis; and, (iii) the widening of their credit default swap spreads.
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A model of credit risk accounting for both default and restructuring. The study of Russian debt develops a new estimation method.
We construct a model for pricing sovereign debt that accounts for the risks of both default and restructuring, and allows for compensation for illiquidity. Using a newand relatively efficient method, we estimate the model using Russian dollar-denominated bonds.We consider the determinants of the Russian yield spread, the yield differential across different Russian bonds, and the implications for market integration, relative liquidity, relative expected recovery rates, and implied expectations of different default scenarios.
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Marketmakers' bid-ask spread is narrower for sophisticated investors with better search options.
We study how intermediation and asset prices in over-the-counter markets are affected by illiquidity associated with search and bargaining. We compute explicitly the prices at which investors trade with each other, as well as marketmakers’ bid and ask prices, in a dynamic model with strategic agents. Bid–ask spreads are lower if investors can more easily find other investors or have easier access to multiple marketmakers. With a monopolistic marketmaker, bid–ask spreads are higher if investors have easier access to the marketmaker. We characterize endogenous search and welfare, and discuss empirical implications.
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When a large trader liquidates, “predators” also sell, leading to price over-shooting and systemic risk.
This paper studies predatory trading, trading that induces and/or exploits the need of other investors to reduce their positions. We show that if one trader needs to sell, others also sell and subsequently buy back the asset. This leads to price overshooting and a reduced liquidation value for the distressed trader. Hence, the market is illiquid when liquidity is most needed. Further, a trader profits from triggering another trader’s crisis, and the crisis can spill over across traders and across markets.
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This paper looks at within-industry variables and across-industry variables to better predict firms' stock returns.
Better proxies for the information about future returns contained in firm characteristics such as size, book-to-market equity, cash flow-to-price, percent change in employees, and various past return measures are obtained by breaking these explanatory variables into two industry-related components. The components represent (1) the difference between firms' own characteristics and the average characteristics of their industries (within-industry variables), and (2) the average characteristics of firms' industries (across-industry variables). Each variable is reliably priced within-industry and measuring the variables within-industry produces more precise estimates than measuring the variables in their more common form. Contrary to Moskowitz and Grinblatt [1999], we find that within-industry momentum (i.e., the firm's past return less the industry average return) has predictive power for the firm's stock return beyond that captured by across-industry momentum. We also document a significant short-term (one-month) industry momentum effect which remains strongly significant when we restrict the sample to only the most liquid firms.
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We develop a model of incomplete-information games, and their equilibria, in which players use robust optimization to deal with payoff uncertainty.
We present a distribution-free model of incomplete-information games, both with and without private information, in which the players use a robust optimization approach to contend with payoff uncertainty. Our “robust game” model relaxes the assumptions of Harsanyi’s Bayesian game model, and provides an alternative distribution-free equilibrium concept, which we call “robust-optimization equilibrium,” to that of the ex post equilibrium. We prove that the robust-optimization equilibria of an incomplete-information game subsume the ex post equilibria of the game and are, unlike the latter, guaranteed to exist when the game is finite and has bounded payoff uncertainty set. For arbitrary robust finite games with bounded polyhedral payoff uncertainty sets, we show that we can compute a robust-optimization equilibrium by methods analogous to those for identifying a Nash equilibrium of a finite game with complete information. In addition, we present computational results.
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Short sellers search for stock owners and pay a lending fee. The lending fee increases the stock's price.
We present a model of asset valuation in which short-selling requires searching for security lenders and bargaining over the lending fee. If lendable securities are difficult to locate, then the price of the security is initially elevated, and expected to decline. This price decline is to be anticipated, for example, after an initial public offering, and is increasing in the degree of heterogeneity of beliefs about the future value of the security. The prospect of lending fees may push the initial price of a security above even the most optimistic buyer’s valuation of the security’s future dividends. A higher price can thus be obtained with some shorting than if shorting is disallowed.
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Sell-side equity analyst recommendations perform better on companies whose executive officers attended the same school, though Reg FD reduced outperformance in U.S.
We study the impact of social networks on agents’ ability to gather superior information about firms. Exploiting novel data on the educational background of sell-side analysts and senior corporate officers, we find that analysts outperform by up to 6.60% per year on their stock recommendations when they have an educational link to the company. Pre-Reg FD, this school-tie return premium is 9.36% per year, while post- Reg FD it is nearly zero. In contrast, in an environment that did not change selective disclosure regulation (the U.K.), the school-tie premium is large and significant over the entire sample period.
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There are legitimate arguments and difficult issues related to how to expense stock options. Still, stock options should be expensed.
The debate about whether stock options should be expensed at the time they are issued is really no debate at all. Although legitimate issues exist about how to carry out this endeavor (what model to use, what time period to expense them over, how and when to tax them), there is simply no strong argument against expensing ? and very powerful arguments in its favor. This article reviews many of the arguments against expensing and the slam-dunk case for it. A great many attacks on expensing have been undertaken, but they systematically fall short of the mark, with some of them intellectually dishonest to a degree not normally observed in dialogue among serious people.
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This paper examines the effects of the 2006 stock exchange shutdown on prices of securities and the relative impact on more or less liquid securities.
On January 18, 2006, the Tokyo Stock Exchange (TSE) unexpectedly closed twenty minutes early. Forty minutes earlier, investors were informed that the number of transactions on that day had reached the daily capacity of the exchange’s computer systems. Further, the exchange disclosed that upgrading its technology would take six to twelve months, that the exchange would shut down automatically on any day in which the daily capacity had been reached, and that the exchange would close half an hour early each day in the near future to reduce the risk of an unanticipated shutdown. I estimate that over the six month period following the January 18 event, the expected number of additional market closures is 1.5 and the probability of at least one additional shutdown is 70 percent. I investigate the impact of the systematic liquidity event on relative valuations over the cross-section of stocks listed on the TSE. Stocks that only trade on the TSE lost a statistically significant 2 percent of their value relative to those that trade on the TSE and at least one additional Japanese exchange. Also, liquid stocks lost value relative to illiquid stocks. For instance, high turnover stocks lost approximately 6 percent of their value relative to low turnover stocks and liquid stocks, as measured by the Amihud (2002) illiquidity measure, lost approximately 4 percent of their value relative to illiquid stocks. The results provide further evidence that investors place an economically significant value on liquidity.
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This paper, which studies industry-level patterns in takeover and restructuring activity during the 1982-1989 period, finds significant difference in the rate and time-series clustering of these activities.
We study industry-level patterns in takeover and restructuring activity during the 1982-1989 period. Across 51 industries, we find significant differences in both the rate and time-series clustering of these activities. The interindustry patterns in the rate of takeovers and restructurings are directly related to the economic shocks borne by the sample industries. These results support the argument that much of the takeover activity during the 1980s was driven by broad fundamental factors and have general implications for the stock price spillover effects of takeover announcements, corporate performance following takeovers, and the timing of takeover waves.
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Mutual fund portfolio managers take larger positions and earn higher returns in the shares of companies whose executive officers attended the same school.
This paper uses social networks to identify information transfer in security markets. We focus on connections between mutual fund managers and corporate board members via shared education networks. We find that portfolio managers place larger bets on connected firms and perform significantly better on these holdings relative to their nonconnected holdings. A replicating portfolio of connected stocks outperforms nonconnected stocks by up to 7.8 percent per year. Returns are concentrated around corporate news announcements, consistent with portfolio managers gaining an informational advantage through the education networks. Our results suggest that social networks may be important mechanisms for information flow into asset prices.
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This article summarises the findings of three studies that explore the value of corporate takeovers.
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Fundamental Indexing is less of a revolution in investing and more of a repackaging of a long-established discipline of value tilting.
There is an interesting and sometimes heated debate under way about the merits of traditional capitalization-weighted indexing versus so-called Fundamentally WeightedTM indexes. Robert Arnott, chairman of Research Affiliates, a Pasadena, California–based investment management firm, and finance professor Jeremy Siegel of the Wharton School of the University of Pennsylvania have led the charge for Fundamental Indexing. Vanguard Group founder Jack Bogle and Princeton University economics professor Burton Malkiel have been the chief defenders of traditional indexing. I write this piece as one stuck in the middle. On the one hand, Bogle and Malkiel are right: If we use a strict definition of the word “index,” the only indexes that truly make sense are cap-weighted. On the other hand, I am not a pure index fund investor. Instead, I try to outperform indexes by making active bets — and the bets I favor are in the direction of Arnott and Siegel.
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Investors can use short-term information to help time the trades of their long-term investments.
When long-term investors trade slowly changing portfolios, they are not particularly sensitive to when they should place or modify their bets. Short-term information can be used to guide investors on how to time their trades. Strategic trade modification provides exposure to short-term signals without imposing additional transaction costs or capacity limits. Long-term investors should not ignore short-term information simply because it is too expensive to trade on.
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The effect of search and bargaining on asset prices and the dynamics of aggregate liquidity shocks.
We provide the impact on asset prices of search-and-bargaining frictions in over-the-counter markets. Under certain conditions, illiquidity discounts are higher when counterparties are harder to find, when sellers have less bargaining power, when the fraction of qualified owners is smaller, or when risk aversion, volatility, or hedging demand is larger. Supply shocks cause prices to jump, and then ‘‘recover’’ over time, with a time signature that is exaggerated by search frictions: The price jump is larger and the recovery is slower in less liquid markets. We discuss a variety of empirical implications.
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A review of quantitative investing, performance of quantitative strategies, and outlook.
For more than a year now, investors have been questioning the efficacy of quantitative investing. Much of their questioning has to do with performance. Many quant strategies have simply failed to deliver on their investment promise over the past few years. The problem, the reasoning goes, is that everybody knows about these strategies, so there are no returns left. It was this very argument that the editors of Institutional Investor recently posed to us, as they asked whether quantitative equity investing has a future.
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A solicited commentary on the global liquidity crisis and the "quant crisis" of August 2007. Evidence on the driving mechanisms.
The dangers of shouting “fire” in a crowded theater are well understood, but the dangers of rushing to the exit in the financial markets are more complex. Yet, the two events share several features, and I analyze why people crowd into theaters and trades, why they run, what determines the risk, whether to return to the theater or trade when the dust settles, and how much to pay for assets (or tickets) in light of this risk. These theoretical considerations shed light on the recent global liquidity crisis and, in particular, the quant event of 2007.