What Drives the Relationship Between Financial Flexibility and Firm Performance: Investment Scale or Investment Efficiency? Evidence from China

Financial flexibility helps improve firm performance. By using data from Chinese listed companies, we examine whether investment scale or investment efficiency drives the relationship between financial flexibility and firm performance via a special mediator testing method that is widely used in the psychology literature (Baron and Kenny, 1986). We find that financial flexibility has a significant and positive effect on both investment and firm performance. However, investment scale rather than investment efficiency seems to drive firm performance. This finding helps us understand that Chinese companies tend to emphasize investment expansion more than they do investment efficiency to improve firm performance.     

What Drives Anomaly Returns?

We decompose the returns of five well-known anomalies into cash flow and discount rate news. Common patterns emerge across the five factor portfolios and their mean-variance efficient (MVE) combination. Whereas discount rate news predominates in market returns, systematic cash flow news drives the returns of anomaly portfolios and their MVE combination with the market portfolio. Anomaly cash flow and discount rate shocks are largely uncorrelated with market cash flow and discount rate shocks and with business cycle fluctuations. These rich empirical patterns restrict the joint dynamics of firm cash flows and the pricing kernel, thereby informing models of stocks' expected returns.     

What Drives ETF Flows?

The value of exchange traded fund (ETF) assets has increased from $66 billion in 2000 to almost a trillion dollars in 2010. We use this massive expansion in ETF assets to study what drives ETF flows. Using a data set of over 500 ETFs from 2001 to 2010, we show that ETF investors chase returns in the same way as mutual fund investors. While there is an active debate about whether return chasing by mutual fund investors represents the pursuit of superior talent, the existence of return chasing in this passively managed environment should not represent a search for skilled managers. We also show that ETF flows increase following high volume, small spreads, and high price/net asset value ratios. Finally, we find little evidence of superior market timing in ETF flows. Our results suggest that return chasing in both mutual funds and ETFs is more likely the result of naïve extrapolation bias on the part of investors that has contributed to the growth of the ETF industry.     

What Drives Consumption Booms?

Consumption booms have been common in both industrial and developingcountries, and several explanations have been offered for theiroccurrence. These include economywide wealth effects associatedwith favorable movements in the terms of trade or euphoric expectationstriggered by macroeconomic reforms, Ricardian effects associatedwith fiscal stabilization, lending booms following financialliberalization, and a variety of distortions in intertemporalrelative prices. Using a large cross-country sample of booms,this article assesses how widely applicable these explanationsare. The key finding is that wealth effects linked to favorablemovements in the terms of trade and anticipated improvementsin macroeconomic performance seem to have been more importantempirically than explanations relying primarily on fiscal phenomenaor distortions in intertemporal relative prices.     

What Moves Investment Growth?

We use accounting identities to decompose unexpected changes in investment growth into surprises to current cash‐flow growth and stock returns, and revisions of expectations about future cash‐flow growth and future discount rates. Using a vector autoregressive model we find that current cash‐flow surprises account for the largest element of the variance decomposition. Investment growth and current cash‐flow surprises are negatively correlated with news about future cash‐flow growth, which can be expected from persistent productivity shocks and decreasing returns to scale. We find little evidence of a discount rate channel for investment since return terms are small and have unintuitive signs.     

What Drives Sell‐Side Analyst Compensation at High‐Status Investment Banks?

We use proprietary data from a major investment bank to investigate factors associated with analysts’ annual compensation. We find compensation to be positively related to “All‐Star” recognition, investment‐banking contributions, the size of analysts’ portfolios, and whether an analyst is identified as a top stock picker by the Wall Street Journal. We find no evidence that compensation is related to earnings forecast accuracy. But consistent with prior studies, we find analyst turnover to be related to forecast accuracy, suggesting that analyst forecasting incentives are primarily termination based. Additional analyses indicate that “All‐Star” recognition proxies for buy‐side client votes on analyst research quality used to allocate commissions across banks and analysts. Taken as a whole, our evidence is consistent with analyst compensation being designed to reward actions that increase brokerage and investment‐banking revenues. To assess the generality of our findings, we test the same relations using compensation data from a second high‐status bank and obtain similar results.     

What Drives Executive Stock Option Backdating?

We study motives for executive stock option backdating, the practice of changing the grant dates of current options to dates in the past using hindsight. We find that smaller, younger and less profitable firms tend to be more heavily involved in backdating. These results are consistent with the retention hypothesis. In line with the incentive hypothesis, we find that backdating occurs more for options that are out‐of‐the‐money. We derive some evidence for the agency hypothesis, in the sense that backdating companies have a larger percentage of inside directors. However, contrary to this hypothesis, we conclude that backdating firms have better protection for minority shareholders compared to firms that do not backdate.     

What Drives Housing Markets: Fundamentals or Bubbles?

This study applies the dynamic Gordon growth model which is in the circumstance of rational bubbles to decompose log price-rent ratio into three parts, i.e., rational bubbles, discounted expected future rent growth rates and discounted expected future returns. The latter two terms represent housing fundamentals. The magnitudes of the components of price-rent ratio’s variance are estimated to distinguish the relative impact of the three parts on housing prices. Using time series data from the housing markets in the four largest cities in China (1991:Q1–2011:Q1 for Shanghai, Guangzhou and Shenzhen; 1993:Q2–2011:Q1 for Beijing), this paper presents a number of empirical findings: (a) the variance of rational bubbles is much larger than the variance of price-rent ratio, and rational bubbles contribute more fluctuations directly to price-rent ratio than the expected returns or the expected rent growth rates do; (b) the covariance between rational bubbles and expected returns or expected rent growth rates is also large; (c) the positive covariance of rational bubbles and expected returns implies that high expected returns coexist with bubbles, which differs from previous findings that lower expected returns drive asset prices; (d) the negative covariance of rational bubbles and expected rent growth rates indicates that the larger the bubbles are, the lower the expected rent growth rates are; (e) the positive covariance of expected returns and expected rent growth rates reveals under-reaction of the housing markets to rents.     

Monetary Policy Stress in EMU: What Role for Fundamentals and Missed Forecasts?

This article reexamines the problem of monetary policy stress in the EMU. In addition to estimating the amount of stress in particular countries, we investigate its sources by breaking it down into its “fundamental” parts, covering how it is a result of country-specific macroeconomic divergences and the EMU-wide “non-fundamental” component, with special attention given to the role of missed forecasts. Our results confirm that peripheral countries were exposed to risks emerging from low interest rates while the “core” countries did not suffer from much monetary policy stress. Interestingly, the bulk of it was non-fundamental, i.e., not caused by inflation and output gap differentials between countries. We show that missed forecasts did make an important contribution to this part of the stress and were mainly responsible for pushing the interest rate below its rule-consistent level.     

What Do Management Earnings Forecasts Convey About the Macroeconomy?

We decompose quantitative management earnings forecasts into macroeconomic and firm‐specific components to determine the extent to which voluntary disclosure provided by management has macroeconomic information content. We provide evidence that the forecasts of bellwether firms, which are defined as firms in which macroeconomic news explains the greatest amount of variation in the forecasts, provide timely information to the market about the macroeconomy when bundled with earnings announcements. Further, we show that bellwether firms provide timely information about both industry‐specific events and broader economic events. Finally, we document that the macroeconomic news in individual forecasts is more pronounced for bad news and point forecasts.     

Does the Mandatory Bid Rule Add Value to Target Shareholders?

I investigate whether implementation of the mandatory bid rule—the rule that grants all shareholders the right to participate in a takeover transaction at equal terms—affects target announcement returns. I use a difference‐in‐differences approach and the staggered adoption of the rule across 15 European countries. I find that the rule change leads to higher target returns. In full transactions, better accounting standards and shareholder protection norms of the acquirer leads to higher target returns. In majority transactions, greater value transfer from acquirers with weak accounting standards leads to higher target returns. I find weak evidence of overpayment by acquirers.     

Technology,Utilization, and Inflation: What Drives the New Keynesian Phillips Curve?

We argue that the New Keynesian Phillips Curve literature has failed to deliver a convincing measure of real marginal costs. We start from a careful modeling of optimal price setting allowing for nonunitary factor substitution, nonneutral technical change, and time‐varying factor utilization rates. This ensures the resulting real marginal cost measures match volatility reductions and level changes witnessed in many U.S. time series. The cost measure comprises conventional countercyclical cost elements plus procyclical (and covarying) utilization rates. Although procyclical elements seem to dominate, the components of real marginal cost components are becoming less cyclical over time. Incorporating this richer driving variable produces more plausible price‐stickiness estimates than otherwise and suggests a more balanced weight of backward‐ and forward‐looking inflation expectations than commonly found. Our results challenge existing views of inflation determinants and have important implications for modeling inflation in New Keynesian models.     

What Should Be Our Human Capital Investment Policy?

This paper considers the magnitude of the human capital investment required to offset the increase in the inequality in labour earnings in the US economy since 1979. It considers the ineffectiveness of government training policies, the effectiveness of private sector training and the conflict between economic efficiency and the work ethic. It also considers revisions of the tax code. The importance of the distinction between the long view and the short view in analysing human resource policies is emphasised. JEL classification: J24, I28, H40.     

Growth Strategies and Value Creation: What Works Best for Stock Exchanges?

In recent years, demutualized stock exchanges increasingly have been engaging in mergers and acquisition (M&A) and alliance activities. To examine the effect of these growth strategies on exchange shareholders’ value creation, we focus on 15 public stock exchanges and investigate their short‐run share price responses to the formation of 111 M&As and alliances around the world spanning the period 2000–2008. Our findings show that the average stock price responses for M&As and alliances are positive. M&As create more value than alliances. For alliances, joint ventures generate more value than nonequity alliances. More value accrues when the integration is horizontal than when it is vertical. Cross‐border integration creates more value than domestic integration. In addition, there is evidence of learning‐by‐doing effects in stock exchange integration activities. Finally, we find that when the partnering exchange is located in a country with better shareholder protection, accounting standards, and capital market development, more shareholder value accrues to our sample exchange. These patterns are consistent when we examine the exchanges’ long‐run performance.     

What Determines Stock Price Synchronicity in REITs?

This paper studies the behavior of REIT stock price synchronicity for the years 1997 through 2006. Theory suggests that REIT stock prices should be largely independent of market changes; and, at the very least, REITs should have a low covariance with other assets, including other REIT stocks. The evidence presented below does not support this view. Instead, synchronicity appears to be quite high in the equity REIT market, especially among REITs that larger and more liquid. We also find that REIT stock price synchronicity is negatively related to hedge fund ownership, but positively related to pension fund and insurance company ownership. The evidence further suggests that synchronicity is the highest among industrial and regional mall REITs, and lower among apartment, health care, and mixed property REITs.     

What is the Intrinsic Value of the Dow?

We model the time-series relation between price and intrinsic value as a cointegrated system, so that price and value are long-term convergent. In this framework, we compare the performance of alternative estimates of intrinsic value for the Dow 30 stocks. During 1963–1996, traditional market multiples (e.g., B/P, E/P, and D/P ratios) have little predictive power. However, a V/P ratio, where V is based on a residual income valuation model, has statistically reliable predictive power. Further analysis shows time-varying interest rates and analyst forecasts are important to the success of V. Alternative forecast horizons and risk premia are less important.     

Valuing Loss Firms: What Can Be Learned From Analysts' Forecasts?

Prior research documents an anomalous negative price–earnings relation when a simple earnings capitalization model is estimated for loss‐making firms. Collins et al. (1999 ) suggest that the model is misspecified due to the omission of book value of equity. However, results from previous studies are confusing. We try to enrich prior literature by focusing on analysts' forecasts. In particular, we assess the role of earnings and book value in valuing loss firms using several measures based on the information provided by analysts. We hypothesize that the role of accounting figures depends on whether the loss firm is supported or not by investors. According to this argument, we construct several measures of investor support based on analysts' forecasts, and then test the value relevance of accounting information depending on the degree of support. Our results confirm the usefulness of the notion of ‘investor support’. For those loss firms that are expected to liquidate, we find that the inclusion of book value of equity in the model removes the negative sign on the earnings coefficient. However, for those loss firms that are expected to reverse current losses, we find that the coefficient on earnings remains negative despite the inclusion of book value.