What Drives Security Issuance Decisions: Market Timing,Pecking Order,or Both?

We study market timing and pecking order in a sample of debt and equity issues and share repurchases of Canadian firms from 1998 to 2007. We find that only when firms are not financially constrained is there evidence that firms issue (repurchase) equity when their shares are overvalued (undervalued) and evidence that overvalued issuers earn lower postannouncement long‐run returns. Similarly, we find that only when firms are not overvalued do they prefer debt to equity financing. These findings highlight an interaction between market timing and pecking order effects.     

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.     

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 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 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 Fiscal Decentralisation? Further Assessing the Role of Income*

This paper investigates the determinants of fiscal decentralisation, focusing in particular on the impact of the level of income on the level of fiscal decentralisation. Various measures of fiscal decentralisation, several of them novel in this context, are employed in a cross‐country econometric model to test established and more recent hypotheses. Paying careful attention to variable measurement, model specification and sample coverage, the results suggest that there are significant relationships between fiscal decentralisation and income, as well as a range of other factors. However, these relationships may be more complicated than previously reported. For the entire large sample of countries, and for the OECD subsample, a positive relationship between income and decentralisation is found. This corroborates the results found in earlier studies. However, for the middle‐ and lower‐income nations, higher income is found to be associated with less decentralisation.     

Option trading: Information or differences of opinion?

This paper investigates the motive of option trading. We show that option trading is mostly driven by differences of opinion, a finding different from the current literature that attempts to attribute option trading to information asymmetry. Our conclusion is based on three pieces of empirical evidence. First, option trading around earnings announcements is speculative in nature and mostly dominated by small, retail investors. Second, around earnings announcements, the pre-announcement abnormal turnovers of options seem to predict the post-announcement abnormal stock returns. However, once we control for the pre-announcement stock returns, the predictability completely disappears, implying that option traders simply take cues from the stock market and turn around to speculate in the options market. Third, cross-section and time-series regressions reveal that option trading is also significantly explained by differences of opinion. While informed trading is present in stocks, it is not detected in options.     

Job Market Signaling: What Drives the Productivity of Finance Ph.D.s?

We study the research productivity of new finance Ph.D.s as measured by the number of quality publications. A commonly accepted notion is that the highest ranked schools produce the candidates with the greatest potential for high‐quality publications. Our results, however, find publications or revisions in top‐tier journals during the doctoral program are a stronger measure of potential research productivity than the school attended. Our findings demonstrate how candidates outside of the top schools can signal their future research productivity. Even though we examine the specialized labor market, our results have broader implications for markets outside academics.     

What Drives the Cross‐Section of Credit Spreads?: A Variance Decomposition Approach

I decompose the variation of credit spreads for corporate bonds into changing expected returns and changing expectation of credit losses. Using a log‐linearized pricing identity and a vector autoregression applied to microlevel data from 1973 to 2011, I find that expected returns contribute to the cross‐sectional variance of credit spreads nearly as much as expected credit loss does. However, most of the time‐series variation in credit spreads for the market portfolio corresponds to risk premiums.     

What Drives the Creation of New Businesses? A Panel-Data Analysis for EU Countries

Our article aims to identify the key factors that affect the establishment of new businesses in 18 developed and emerging member countries in the European Union over the period 2003–2015. Using panel-data estimation techniques, we alternatively assess the effects of some macroeconomic, demographic, individual, and business environment-related factors on the dynamics of new firm creation, proxied by the rates of nascent entrepreneurship and entrepreneurial intentions. The results show that macroeconomic and demographic variables are the most significant determinants, followed by the individual characteristics of potential entrepreneurs and of the business environment. In addition, the sovereign debt crisis in Europe in 2010 positively affected entrepreneurship through increased support for new firms by individual country governments and the European Union.     

Prices or Knowledge? What Drives Demand for Financial Services in Emerging Markets?

Financial development is critical for growth, but its microdeterminants are not well understood. We test leading theories of low demand for financial services in emerging markets, combining novel survey evidence from Indonesia and India with a field experiment. We find a strong correlation between financial literacy and behavior. However, a financial education program has modest effects, increasing demand for bank accounts only for those with limited education or financial literacy. In contrast, small subsidies greatly increase demand. A follow‐up survey confirms these findings, demonstrating that newly opened accounts remain open and in use 2 years after the intervention.     

Information content of repurchase signals: Tangible or intangible information?

The outperformance of repurchasing firms with a high book-to-market (B/M) ratio is usually explained by investors’ undervaluation of the firm’s past performance. However, several studies suggest that the underestimation of future intangible value may explain the high return associated with the share repurchase. To better understand the actual information content of repurchases, I decompose the B/M ratio into past tangible information and future intangible information and find that repurchase signals an undervaluation of the intangible return. In addition, I investigate several potential proxies for intangible information—R&D expenses, intangible assets, and future operating performance. My results show that intangible information signals the undervaluation of future operating performance.     

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.     

How Does Asymmetric Information Affect Catering Behavior?

This study examines the association between information asymmetry and payout policy, and how asymmetric information affects catering behavior. Using forecast error and forecast dispersion as information asymmetry variables, this study finds that the more information asymmetry the firms face, the less likely they will increase dividends. Meanwhile, the effects of information asymmetry dominate over those of catering incentives for managers to decide dividend policy. Finally, our empirical results demonstrate that the signaling theory holds when dividend yield is high or market underestimates the EPS of firms. In addition, companies use share repurchases as a substitute for dividend increases, and take retained earnings into account when making dividend policies.     

What Drives the Consequences of Intentional Misstatements? Evidence from Rating Analysts’ Reactions

This paper aims to identify the mechanisms through which intentional misstatements adversely affect firms by analyzing rating analysts’ reaction to misstatements. In order to identify the mechanisms through which the misstatement affects firms’ credit ratings, we analyze the content of rating reports. Rating analysts are concerned about seven different mechanisms. They are most concerned about misstatement‐related violations of debt covenants that increase a firm's liquidity risk. We find that, subsequent to an intentional misstatement becoming publicly known, credit ratings of misreporting firms are adversely affected for up to seven years. The adverse impact of an intentional misstatement on a firm's credit rating is most pronounced in cases in which rating analysts mention concerns about misstatement‐related violations of covenants. Our results suggest that these covenant violations are the most severe mechanism through which misstatements adversely affect firms’ creditworthiness.     

Alpha or beta in the eye of the beholder: What drives hedge fund flows?

Capital Asset Pricing Model (CAPM) alpha explains hedge fund flows better than alphas from more sophisticated models. This suggests that investors pool together sophisticated model alpha with returns from exposures to traditional (except for the market) and exotic risks. We decompose performance into traditional and exotic risk components and find that while investors chase both components, they place greater relative emphasis on returns associated with exotic risk exposures that can only be obtained through hedge funds. However, we find little evidence of persistence in performance from traditional or exotic risks, which cautions against investors’ practice of seeking out risk exposures following periods of recent success.     

What Drives CEOs to Take on More Risk? Some Evidence from the Laboratory of REITs

Many have pointed to excessive risk‐taking by the CEOs of financial firms as a contributor to the recent worldwide economic crisis. The same observers often blame questionable corporate governance structures and compensation practices for that risk‐taking. But is this perception correct? And what is the relationship between CEO incentives and risk‐taking outside of the financial industry, where the government guarantees provided by deposit insurance could have distorted incentives? In an attempt to answer these questions, the authors analyze the relationship between CEO incentives and corporate risk‐taking by 101 U.S. REITs during the period 2003 to 2007. Their main finding is that corporate risk‐taking, as measured by the growth rate in corporate debt (the only measure of risk that is completely under the control of the CEO), is inversely related to CEO stock ownership—that is, the larger the CEO's equity ownership stake, the slower the growth in debt financing and financial risk‐taking. At the same time, the authors find that financial risk‐taking is positively related to large cash bonuses for the CEOs and to situations in which the CEO is also chairman of the board of directors. Finally, the authors also report that CEOs who are relatively new to the job grow more slowly and borrow less, suggesting that boards of directors can temporarily contain risky expansion plans by the CEO. These results provide support for those corporate governance reformers who wish to cut cash bonus payments for CEOs in favor of long‐term stock ownership.     

Why Do Western European Firms Issue Convertibles Instead of Straight Debt or Equity?

Unlike their US counterparts, European convertible debt issuers tend to be large companies with small debt‐ and equity‐related financing costs. Therefore, it is puzzling why these firms issue convertibles instead of standard financing instruments. This paper examines European convertible debt issuer motivations by estimating a security choice model that incorporates convertibles, straight debt, and equity. We find that European convertibles are used as sweetened debt, not as delayed equity. This motivation is reflected in the debt‐like design of most European convertible issues.