Knowledge that Transforms

Evidence from a wide sample of Italian private firms shows that cash holdings are significantly related with smaller size, higher risk and lower effective tax rates, therefore supporting predictions from the trade-off model. More cash is also held by firms with longer cash conversion cycles and lower financing deficits, as predicted by the financing hierarchy theory. Reported evidence also shows that dividend payments are associated with more cash holdings, and both bank debt and net working capital represent good cash-substitutes. When controlling for macroeconomic and industry factors, some variables lose their significance, but the general findings are confirmed. Finally, cash-rich companies are found to be more profitable, to pay more dividends and to invest more in a medium-term future horizon.

The main goal of this paper is to study the cross-sectional pricing of market volatility. The paper proposes that the market return, diffusion volatility, and jump volatility are fundamental factors that change the investors’ investment opportunity set. Based on estimates of diffusion and jump volatility factors using an enriched dataset including S&P 500 index returns, index options, and VIX, the paper finds negative market prices for volatility factors in the cross-section of stock returns. The findings are consistent with risk-based interpretations of value and size premia and indicate that the value effect is mainly related to the persistent diffusion volatility factor, whereas the size effect is associated with both the diffusion volatility factor and the jump volatility factor. The paper also finds that the use of market index data alone may yield counter-intuitive results.

This paper examines the determinants of bank net interest margin (NIM) and non-traditional banking activities (NII). A system estimation approach is employed to control for the simultaneity between NIM and NII for commercial banks in a group of 28 financially liberalized countries during the period between 1997 and 2004. We find a statistically significant negative relationship between NIM and NII for the period between 1997 and 2002. A generally positive but statistically insignificant association between NIM and NII is found for the subsequent period (2003–2004). Banks’ increasing involvement in non-traditional activities is negatively correlated with risk-adjusted profitability measures in the former subperiod, suggesting no obvious diversification benefits. However, the share of noninterest income is positively related to the return on assets (ROA) and the return on equity (ROE) for the latter subsample.

The 1/N investment strategy, i.e. the strategy to split one’s wealth uniformly between the available investment possibilities, recently received plenty of attention in the literature. In this paper, we demonstrate that the uniform investment strategy is rational in situations where an agent is faced with a sufficiently high degree of model uncertainty in the form of ambiguous loss distributions. More specifically, we use a classical risk minimization framework to show that, for a broad class of risk measures, as the uncertainty concerning the probabilistic model increases, the optimal decisions tend to the uniform investment strategy. To illustrate the theoretical results of the paper, we investigate the Markowitz portfolio selection model as well as Conditional Value-at-Risk minimization with ambiguous loss distributions. Subsequently, we set up a numerical study using real market data to demonstrate the convergence of optimal portfolio decisions to the uniform investment strategy.

Unique to the world, China adopts a “T+1 trading rule”, which prevents investors from selling stocks bought on the same day. We develop a dynamic price manipulation model to study the effects of the “T+1 trading rule”. Compared to the “T+0 trading rule”, which allows investors to buy and sell the same stocks during the same day, we show that the “T+1 trading rule” reduces the total trading volume and price volatility, and improves the trend chasers’ welfare when trend-chasing is strong. An empirical test using data on China’s B-share stock market supports the model’s theoretical predictions.

The purpose of this paper is to analyse some of the issues associated with supervision and regulation of global systemically important banks, G-SIB. The paper highlights the importance of managing liquidity risk and creating a global financial system that can minimise regulatory arbitrage by large financial institutions. The paper argues that, unlike some industries such as the airline industry in which risk has been contained and yet the size and capacity of aircrafts have increased, in the banking system, less progress has been made to contain financial risk and allow large banks to expand their global activities. The paper argues that G-SIB are able to continue remaining large provided that a globally integrated financial system ensures effective global supervision of these large banks. The paper compares the US banking crises in the 19th century and the subsequent emergence of the US Federal Reserve System to the possibility of establishing a world central bank and a global supervisory board. Such new global institutions will have the capacity to reduce regulatory arbitrage, increase effective supervision, reduce systemic and liquidity risk and create a more stable global financial system.

We propose a novel Bayesian framework to incorporate uncertainty about the state of the market. Among others, one advantage of the framework is the ability to model a large collection of time-varying parameters simultaneously. When we apply the framework to estimate the cost of equity we find economically significant effects of state uncertainty. A state-independent pricing model overestimates the cost of equity by about 4% per annum for a utility firm and by as much as 3% for industries. We also observe that the expected return, volatility, risk loading, and pricing error all display state-dependent dynamics that coincide with the business cycle. More interestingly, the forecasted market and Fama–French factor risk premiums can predict the future real GDP growth rate even though the model does not use any macroeconomic variables, which suggests that the proposed Bayesian framework captures the state-dependent dynamics well.

In this paper, we construct the three-factor model introduced by Chen et al. (2010) for a European sample covering 10 countries from the European Monetary Union and the period from 1990 to 2006. Two key findings result. First, we show that the properties of the European factors are comparable to those of the US factors. Second, we show that the alternative three-factor model’s explanatory power is either equal or superior to the explanatory power of traditional models when applied to five commonly known stock market anomalies. Our results thus suggest the use of international versions of the Chen et al. (2010) factor model in addition to traditional factor models in international empirical finance research.

We study information demand and supply at the firm and market level using data for 30 of the largest stocks traded on NYSE and NASDAQ. Demand is approximated in a novel manner from weekly internet search volume time series drawn from the recently released Google Trends database. Our paper makes contributions in four main directions. First, although information demand and supply tend to be positively correlated, their dynamic interactions do not allow conclusive inferences about the information discovery process. Second, demand for information at the market level is significantly positively related to historical and implied measures of volatility and to trading volume, even after controlling for market return and information supply. Third, information demand increases significantly during periods of higher returns. Fourth, analysis of the expected variance risk premium confirms for the first time empirically the hypothesis that investors demand more information as their level of risk aversion increases.