Culture,institutions, and financing choices: How and why are they related?

This paper explains the need for supplementing traditional financial and economic factors with softer cultural and institutional measures in explaining the determinants of firm financing. The theoretical arguments are based on the incompleteness of contracts and therefore the important role of ethics and behavioral norms in the need and cost of enforcing such contracts. The practical argument is simply that adding these soft factors to traditional economic factors provides a better and more complete explanation of firm financing. This paper notes the lack of such literature in mainstream finance journals in spite of these demonstrated needs. Finally, this paper introduces the papers in this issue and their contributions.     

Beyond cash-additive risk measures: when changing the numéraire fails

We discuss risk measures representing the minimum amount of capital a financial institution needs to raise and invest in a pre-specified eligible asset to ensure it is adequately capitalized. Most of the literature has focused on cash-additive risk measures, for which the eligible asset is a risk-free bond, on the grounds that the general case can be reduced to the cash-additive case by a change of numéraire. However, discounting does not work in all financially relevant situations, especially when the eligible asset is a defaultable bond. In this paper, we fill this gap by allowing general eligible assets. We provide a variety of finiteness and continuity results for the corresponding risk measures and apply them to risk measures based on value-at-risk and tail value-at-risk on L ^p spaces, as well as to shortfall risk measures on Orlicz spaces. We pay special attention to the property of cash subadditivity, which has been recently proposed as an alternative to cash additivity to deal with defaultable bonds. For important examples, we provide characterizations of cash subadditivity and show that when the eligible asset is a defaultable bond, cash subadditivity is the exception rather than the rule. Finally, we consider the situation where the eligible asset is not liquidly traded and the pricing rule is no longer linear. We establish when the resulting risk measures are quasiconvex and show that cash subadditivity is only compatible with continuous pricing rules.     

On the implied market price of risk under the stochastic numéraire

This papers addresses the stock option pricing problem in a continuous time market model where there are two stochastic tradable assets, and one of them is selected as a numéraire. An equivalent martingale measure is not unique for this market, and there are non-replicable claims. Some rational choices of the equivalent martingale measures are suggested and discussed, including implied measures calculated from bond prices constructed as a risk-free investment with deterministic payoff at the terminal time. This leads to possibility to infer a implied market price of risk process from observed historical bond prices.     

Market states,expectations, sentiment and momentum: How naive are investors?

Following Cooper et al. (CGH) 2004 we test whether market states are relevant for predicting UK momentum profits. However, rather than simply categorising up/down markets based on actual prices as CGH, we suggest that investors may view expectations and/or sentiment as important. Contrary to the findings for the US, we find that momentum returns are not related to CGH-defined market states. Similar findings hold for an expectations-based split. In contrast, for the whole sample period, construction and retail sentiment indicators explain differences in momentum profits. However, robustness tests suggest that their explanatory power is driven by the post-subprime crisis period.     

No arbitrage of the first kind and local martingale numéraires

A supermartingale deflator (resp. local martingale deflator) multiplicatively transforms nonnegative wealth processes into supermartingales (resp. local martingales). A supermartingale numéraire (resp. local martingale numéraire) is a wealth process whose reciprocal is a supermartingale deflator (resp. local martingale deflator). It has been established in previous works that absence of arbitrage of the first kind (\(\mbox{NA}_{1}\)) is equivalent to the existence of the (unique) supermartingale numéraire, and further equivalent to the existence of a strictly positive local martingale deflator; however, under \(\mbox{NA}_{1}\), a local martingale numéraire may fail to exist. In this work, we establish that under \(\mbox{NA}_{1}\), a supermartingale numéraire under the original probability \(P\) becomes a local martingale numéraire for equivalent probabilities arbitrarily close to \(P\) in the total variation distance.     

Individual investors’ information use,subjective expectations,and portfolio risk and return

What information do individual investors use when making their financial decisions and how is it related to their stock market expectations, their confidence in these expectations, and the risk and return of their stock portfolios? I study these questions by combining survey data on the information usage among individual investors in Sweden with detailed registry data on their stock portfolios. I find that investors use filtered financial information (e.g. information packaged by a professional intermediary) more frequently than they use unfiltered financial information (e.g. information from annual reports and financial statements). Investors who frequently use filtered financial information are, however, more confident in their stock market expectations and take larger risks in their stock portfolios. Investors that instead use unfiltered financial information take lower portfolio risks and obtain higher portfolio returns. The findings in this paper thus suggest that investors can improve their financial decisions by using more unfiltered financial information rather than filtered financial information when they make their financial decisions.     

Housing, consumption and monetary policy: How different are the US and the euro area?

This paper provides a systematic empirical analysis of the role of the housing market in the macroeconomy in the US and the euro area. First, it establishes some stylised facts concerning key variables in the housing market on the two sides of the Atlantic, such as real house prices, residential investment and mortgage debt. It then presents evidence from Structural Vector Autoregressions (SVAR) by focusing on the effects of monetary policy, credit supply and housing demand shocks on the housing market and the broader economy. The analysis shows that similarities outweigh differences as far as the housing market is concerned. The empirical evidence suggests a stronger role for housing in the transmission of monetary policy shocks in the US. The evidence is less clear-cut for housing demand shocks. Finally, credit supply shocks seem to matter more in the euro area.     

General and specific cancer risk perceptions: how are they related?

Understanding how people construe and act upon cancer risk is important for efforts to target risk-increasing health behaviors. Importantly, research participants are often asked to estimate their risk for cancer (in general), which could mask the fact that cancer represents a range of diseases, and that different cancer types can have distinct risk factors. It is unclear whether individuals perceive general cancer risk as being comprised of an aggregation of risk for specific cancer sites, or whether general cancer risk perceptions reflect the specific type of cancer most salient to them. In this study, general cancer risk perceptions were regressed on specific risk perceptions for colon, lung, prostate (men only), and breast (women only), using data from a nationally representative sample. We found that among men and women, all forms of cancer predicted independent variance in estimates of general cancer risk. There were also stronger relationships between general risk perceptions and each specific risk perception than between any two specific risk perceptions, suggesting that individuals differentiate between specific cancers and general cancer risk. These findings offer some confidence that people’s estimates of general cancer risk take multiple cancer types into account.     

How Integrated are Credit and Equity Markets? Evidence from Index Options

We study the extent to which credit index (CDX) options are priced consistent with S&P 500 (SPX) equity index options. We derive analytical expressions for CDX and SPX options within a structural credit-risk model with stochastic volatility and jumps using new results for pricing compound options via multivariate affine transform analysis. The model captures many aspects of the joint dynamics of CDX and SPX options. However, it cannot reconcile the relative levels of option prices, suggesting that credit and equity markets are not fully integrated. A strategy of selling CDX volatility yields significantly higher excess returns than selling SPX volatility.     

How strong are the linkages between real estate and other sectors in China?

International experience points to the critical role of stable property markets in maintaining financial stability. This paper investigates the real and financial linkages between real estate sector and other sectors. The real linkage based on input–output analysis shows that the linkages have strengthened. The financial linkages in terms of credit risk spillovers across sectors are studied by using DAG method and SVAR. We find that that credit risk in the real estate sector has large-scale spillover effects onto other sectors. Consequently, shocks to the property market could have much larger impact on the Chinese economy than suggested by headline figures.     

Multi-asset portfolio optimization and out-of-sample performance: an evaluation of Black–Litterman,mean-variance,and naïve diversification approaches

The Black–Litterman model aims to enhance asset allocation decisions by overcoming the problems of mean-variance portfolio optimization. We propose a sample-based version of the Black–Litterman model and implement it on a multi-asset portfolio consisting of global stocks, bonds, and commodity indices, covering the period from January 1993 to December 2011. We test its out-of-sample performance relative to other asset allocation models and find that Black–Litterman optimized portfolios significantly outperform naïve-diversified portfolios (1/N rule and strategic weights), and consistently perform better than mean-variance, Bayes–Stein, and minimum-variance strategies in terms of out-of-sample Sharpe ratios, even after controlling for different levels of risk aversion, investment constraints, and transaction costs. The BL model generates portfolios with lower risk, less extreme asset allocations, and higher diversification across asset classes. Sensitivity analyses indicate that these advantages are due to more stable mixed return estimates that incorporate the reliability of return predictions, smaller estimation errors, and lower turnover.     

Order aggressiveness and quantity: How are they determined in a limit order market?

Dealers trading in a limit order market must choose both the order aggressiveness and the quantity for their orders. Since little research has considered how dealers make this trade-off, we empirically investigate how dealers jointly make these decisions in the foreign exchange market using a unique simultaneous equations model. Our model uses an ordered probit model to account for the discrete nature of order aggressiveness and a censored regression model to capture the quantity decision recognizing the clustering of orders at the smallest available quantity, $1 million. Using two currency pairs with very different trading characteristics, we find evidence of a trade-off between order aggressiveness and quantity. We also find a significant role being played by factors related to the levels of information asymmetry and liquidity in the dealers’ choices of both the order aggressiveness and quantity.     

How are shorts informed? : Short sellers,news, and information processing

We find that a substantial portion of short sellers' trading advantage comes from their ability to analyze publicly available information. Using a database of short sales combined with a database of news releases, we show that the well-documented negative relation between short sales and future returns is twice as large on news days and four times as large on days with negative news. Further, we find that the most informed short sales are not from market makers but rather from clients, and we find only weak evidence that short sellers anticipate news events. Overall, the evidence suggests that public news provides valuable trading opportunities for short sellers who are skilled information processors.     

Good Growth,Bad Growth: How Effective are REITs’ Corporate Watchdogs?

The rapid growth of REITs over the last two decades raises an old debate on the existence of scale economies. Out of the 874 growth incidents recorded by individual REITs between 1992 and 2012, we observe that 44.5% of them are sub-optimal, that is they resulted in the acquiring REITs operating at decreasing returns to scale. Large REITs with more free cash flows have a higher propensity to engage in bad growth activities. We find evidence that institutional investors play an effective role in discouraging managerial opportunism and empire building. Independent directors and external creditors, however, do not appear to be effective in discouraging REIT managers from making bad growth decisions.     

How arbitrary are international accounting classifications? Lessons from centuries of classifying in many disciplines,and experiments with IFRS data

The process of classification is central to the daily task of doctors and librarians; and it is the foundation of study and research in chemistry and biology. Double-entry bookkeeping and the preparation of financial statements are classification activities of accounting practice. Classifying national accounting systems has long been an aspect of accounting research. This paper seeks to extract lessons for accounting researchers from anthropology, biology, chemistry, cosmology and medicine. In particular, we examine how the classifiers themselves and the characteristics that they choose can affect classification. We observe that objectivity is neither possible nor desirable in classification. Despite the arbitrariness, some classifications can be more reasonable or more useful than others. For previous accounting classifications, we analyze the classifiers, the scope, the characteristics used, the data and the classification techniques. We report various problems. We then empirically investigate the sensitivity of classifications to such issues as the characteristics chosen, and the countries and sectors included. For this, we hand pick data on the practices of large listed companies from 12 jurisdictions relating to 14 accounting topics under International Financial Reporting Standards. We show how different researchers could produce different classifications, particularly depending on which accounting topics are used to represent the countries.     

How to interact,when and with whom? SMEs and public procurement

Research consistently shows that small and medium enterprises (SMEs) struggle with public procurement processes. The aim of this paper is to extend the research agenda using the lens of supplier development. Dyadic mentoring theory is used to classify three role sets that buyers are willing to use in order to develop small firms. This paper's findings distinguish budget holders from traditional buyers in terms of how and what processes they are willing to use to develop SMEs. Role theory is used in the paper to explain the different mentor behaviours.     

Beyond Risk Aversion: Why,How and What's Next?

Risk attitudes other than risk aversion (e.g. prudence and temperance) are becoming important both in theoretical and empirical work. While the literature has mainly focused its attention on the intensity of such risk attitudes (e.g. the concepts of absolute prudence and absolute temperance), I consider here an alternative approach related to the direction of these attitudes (i.e. the sign of the successive derivatives of the utility function).     

Capital-based regulation,portfolio risk and capital determination: Empirical evidence from the US property–liability insurers

This paper examines the impact of capital-based regulation on the insurer’s risk and capital adjustments in the US property–liability insurance industry. We conduct the three-stage least squares (3SLS) procedure to estimate a simultaneous equations model. The key finding is that undercapitalized insurers increase capital to avoid regulatory costs and take more risks to generate higher returns. We also investigate firm characteristics that determine the insurer’s capital structure. The results indicate that insurers appear to rely heavily on retained earnings to make up their capital shortage and insurers with greater growth opportunity may hold high levels of capital to control for agency problems. Robustness tests with an alternative risk measure and subsamples present consistent results.     

How Do Investment,Fundamentals, and Stock Prices Relate Around the World?

We assemble a novel data set of industry panel data for the corporate sector and the entire economy across a number of countries to explore the connection between investment and stock prices. The link is present in all samples, in both the aggregate and industry dimensions, and increases with stock market development. Fundamentals are less related to prices in underdeveloped markets but are similarly related to investment everywhere. Thus, the active informant interpretation does not seem to be the main force behind the stock market–investment relationship. In addition, industries that are more dependent on equity finance, and where investors are strongest, exhibit higher sensitivity to prices, especially in developed markets.