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.     

What is the After‐Tax Price of R&D? An Interstate Comparison*

As of 2005, 31 US states offered corporate income tax credits on research and development (R&D) expenses in order to encourage more in‐state innovation activities. Empirical questions about the efficacy of such tax breaks at the state level persist, in part because the complexity of the tax laws means that simple credit‐rate comparisons across states do not fully capture the differential variation in effective after‐tax price incentives firms face in choosing where to locate R&D activities. We are unaware of any research analysing and comparing the effective prices of R&D faced by firms, across all US states and utilising micro‐level data. Using data extracted from detailed reading of individual firms' 10‐K and S‐1 filings and of state‐level tax credit rules, we estimate the effective after‐tax price of basic and qualified research expenditure each firm would have faced in each of the 50 states had they been located there. Our methodology simulates the effective tax price of each firm's marginal dollar of research expenditure, assuming the firm chose to move all of its R&D operations to each of the 49 other states. Through Monte Carlo techniques, we consider the sensitivity of our interstate comparative results to several modelling assumptions. We find significant variation in after‐tax R&D prices across states with quite different R&D tax laws. Prices range from $0.176 to $0.520 on a marginal dollar of R&D in Virginia and Washington State, respectively. We also find that the interstate variability is generally more important – indeed, much wider than we had anticipated before investigating state‐by‐state regulations – than the inter‐firm variability within states.     

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.     

The Long‐Run Fisher Effect: Can It Be Tested?

In this paper, I provide a plausible explanation as to why past studies have been unable to find support for the long-run Fisher effect. My argument is that exogenous shocks to the inflation rates in industrialized economies have not produced the permanent change to inflation necessary for testing the Fisher effect. Instead of finding a nonstationary, unit-root process for inflation like previous Fisher effect studies, here each country's inflation rate is found to follow a mean-reverting, fractionally integrated, long-memory process. Applying a bivariate, maximum likelihood estimator to a multivariate, fractionally integrated model of inflation and nominal interest, I find that the estimated inflation rates in 17 developed countries are highly persistent, fractionally integrated, mean-reverting processes with order of integration parameters significantly less than one. Since a permanent change to inflation has not occurred, a test of whether a permanent change to inflation affects the nominal interest rate one-for-one will be uninformative as to the truth or fallacy of the Fisher effect hypothesis.     

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.     

Why Are Earnings Kinky? An Examination of the Earnings Management Explanation

Prior research has documented a kink in the earnings distribution: too few firms report small losses, too many firms report small profits. We investigate whether boosting of discretionary accruals to report a small profit is a reasonable explanation for this kink. Overall, we are unable to confirm that boosting of discretionary accruals is the key driver of the kink. We caution the use of the ratio of small profit firms to small loss firms as a measure of earnings management. We investigate and discuss a number of alternative explanations for the kink.     

Why Do Price Limits Exist in Stock Markets? A Manipulation‐Based Explanation

Numerous stock market regulators around the world impose daily price limits on individual stock price movements. We derive a simple model that shows that price limits may deter stock market manipulators. Based on our model's implications, we predict that regulators impose price limit rules for markets where the likelihood of manipulation is high. We present empirical evidence consistent with this hypothesis. Our study is the first to formally propose a manipulation‐based rationale for the existence of price limits in stock markets.     

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.     

What Drives the Owner‐Occupied and Rental Housing Markets? Evidence from an Estimated DSGE Model

Most dynamic stochastic general equilibrium (DSGE) models with a housing market do not explicitly include a rental market and assume a tight mapping between house prices and rents over the business cycle. However, rents are much smoother than house prices in the data. We match this feature of the data by adding both an owner‐occupied housing market and a rental market in a standard DSGE model. The intertemporal preference shock accounts for more than half of the variation in house prices and contributes to residential investment fluctuations through the liquidity constraint, and nominal rigidity in rental contracts captures the variation in the price‐rent ratio.     

Do Low‐Priced Stocks Drive Long‐Term Contrarian Performance on the London Stock Exchange?

We investigate whether low‐priced stocks drive long‐term contrarian performance on the U.K. market. We find that contrarian performance at low, middle, and high price levels is positive. On the Fama‐French risk adjusted basis, we find both low‐priced and middle‐priced losers have significantly positive returns. When we adjust returns by market and liquidity risk, only middle‐priced losers maintain their positive returns. Our results reveal that low‐priced stocks are not fully responsible for contrarian performance. Our empirical evidence is generally consistent with the overreaction hypothesis and behavioral models of value investing.     

Why is Convertible Debt Subordinated? An Investment‐Based Agency Theory

This paper offers an agency‐based explanation for the junior priority status of convertible bonds. Using a simple economic model, I show that when convertible and straight debt have equal priority, shareholders can prefer value‐decreasing projects, which results in wealth transfers from bondholders to shareholders; and I prove that this problem is solved when convertible debt is subordinated. Empirical evidence supports the theory. I find that firms with greater potential for investment‐based agency conflicts are more likely to issue subordinated convertible debt, and firms with senior convertible debt are more likely to deviate from the optimal investment policy.     

What Drives Shareholder Reaction and Wealth Effect in Block Trades? Evidence from the Warsaw Stock Exchange

The main objective of this article is to present the determinants of shareholder reaction to block trades and their wealth effect on the Warsaw Stock Exchange. The positive abnormal returns obtained for the entire sample indicate that block trades create shareholder value. Shareholders reacted positively to block trades without a control transfer in the Polish market, and their reaction was stronger than in the US market. Abnormal returns of block trades concluded at a discount were twice as high as those for the entire sample. Moreover, cross-border block trades had a negative impact on shareholder value creation, as did financial investors as an acquirer. However, cumulative average abnormal returns (CAARs) were driven up by the relative power of minority shareholders (ocean) prior to the transaction. The absolute size of the block acquired by an investor was also observed to have a positive impact on price rises and abnormal returns.     

What Drives the Property Price-Trading Volume Correlation? Evidence from a Commercial Real Estate Market

The significant price-trading volume correlation found in the residential property market presents a challenge to the rational expectation hypothesis. Existing theories account for this fact with either capital market imperfection (down-payment effect or loss-aversion consideration) or imperfect information (search theoretic models). This paper employs data from a commercial real estate market, which face a different degree of severity of capital market constraint than the residential market, and thus provide an indirect but effective test for alternative theories. Policy implications are also discussed.     

Does Anticipated Information Impose a Cost on Risk‐Averse Investors? A Test of the Hirshleifer Effect

This paper theoretically and empirically investigates how the risk of future adverse price changes created by the anticipated arrival of information influences risk‐averse investors’ trading decisions in institutionally imperfect capital markets. Specifically, I examine how the selling activity of individual investors immediately following an earnings announcement is influenced by the tradeoff between risk‐sharing benefits of immediate trade and explicit transaction costs imposed on such trades. Consistent with my theoretically derived predictions, I find that investors’ current trading decisions are less sensitive to the incremental transaction costs created by short‐term capital gains taxes on trading profits, as both the duration and intensity of the risk of future adverse price changes increase. This evidence is consistent with an incremental cost to investors that results from the revelation of precise information, which is commonly referred to as the Hirshleifer Effect.     

When Do International Operations Lead to Improved Performance? An Analysis of Property‐Liability Insurers

In recent decades, insurers have been increasing their exposure to international markets. This article seeks to investigate the relationship between property-liability insurers' international operations and their risk-adjusted returns using cross-section and time-series data for the years 1992 through 2000. Our findings indicate that the relationship between international operations and performance is contingent upon the degree of product diversification. Insurance companies with focused operations in terms of product lines achieve higher risk-adjusted performance as they increase their exposures to international markets. However, insurers who are highly diversified across product lines face declining returns with greater exposure to international markets.