The index premium and its hidden cost for index funds

This paper empirically investigates the index premium and its implications from 1990 to 2005. For additions to the S&P 500 and Russell 2000, we find that the price impact from announcement to effective day has averaged + 8.8% and + 4.7%, respectively, and −15.1% and −4.6% for deletions. The premia have been growing over time, peaking in 2000, and declining since then. The implied price elasticity of demand increases with firm size and decreases with idiosyncratic risk, supporting theoretical predictions. We also introduce a new concept that we label the index turnover cost, which represents a hidden cost borne by index funds (and the indexes themselves) due to the index premium. We illustrate this cost and estimate its lower bound as 21-28 bp annually for the S&P 500 and 38-77 bp annually for the Russell 2000.     

The impact of implied facilities cost of money subsidies on capital expenditures and the cost of debt in the defense industry

We examine the public policy effects of a cash flow subsidy unique to the government contracting industry, on defense contractors’ capital expenditures and cost of debt over a relatively long time-period, 1978–2009. Because the Department of Defense found evidence of a shrinking defense industrial base in the early 1970s, it wanted to encourage capital spending by defense firms. The result was a cost accounting standard that reimbursed contractors for an imputed facilities capital cost of money (FCCOM) that has remained in effect, virtually unchanged, for almost 30 years, despite structural changes in the defense industry. Our results, using a sample of 628 defense firms, suggest that the standard met its intended objective of increased capital spending within 10 years of its promulgation. However, we also find that the FCCOM subsidy may have contributed to a decreased cost of debt within the defense sector over the long-term. Finally, further analyses indicate that the long-term persistence of this subsidy may have encouraged defense contractors to overinvest in capital goods. Our findings suggest that public policy makers should consider both direct and indirect effects of regulation embedded in accounting standards.     

Stress testing credit risk: The Great Depression scenario

By employing Moody’s corporate default and rating transition data spanning the last 90 years we explore how much capital banks should hold against their corporate loan portfolios to withstand historical stress scenarios. Specifically, we will focus on the worst case scenario over the observation period, the Great Depression. We find that migration risk and the length of the investment horizon are critical factors when determining bank capital needs in a crisis. We show that capital may need to rise more than three times when the horizon is increased from 1 year, as required by current and future regulation, to 3 years. Increases are still important but of a lower magnitude when migration risk is introduced in the analysis. Further, we find that the new bank capital requirements under the so-called Basel 3 agreement would enable banks to absorb Great Depression-style losses. But, such losses would dent regulatory capital considerably and far beyond the capital buffers that have been proposed to ensure that banks survive crisis periods without government support.     

A unique “T + 1 trading rule” in China: Theory and evidence

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.     

Sustainable growth rate,optimal growth rate,and optimal payout ratio: A joint optimization approach

This study investigates the investment decision and dividend policy jointly from a non-steady state to a steady state. We extend ,  and  sustainable growth rate model and develop a dynamic model which jointly optimizes the growth rate and payout ratio. We optimize the firm value to obtain the optimal growth rate in terms of a logistic equation and find that the steady state growth rate can be used as the benchmark for the mean-reverting process of the optimal growth rate. We also investigate the specification error of the mean and variance of dividend per share when introducing the stochastic growth rate. Empirical results support the mean-reverting process of the growth rate and the importance of covariance between the profitability and the growth rate in determining dividend payouts. The intertemporal behavior of the covariance may shed some light on the fact of disappearing dividends over decades.     

A numerical method to price exotic path-dependent options on an underlying described by the Heston stochastic volatility model

We consider the problem of pricing European exotic path-dependent derivatives on an underlying described by the Heston stochastic volatility model. Lipton has found a closed form integral representation of the joint transition probability density function of underlying price and variance in the Heston model. We give a convenient numerical approximation of this formula and we use the obtained approximated transition probability density function to price discrete path-dependent options as discounted expectations. The expected value of the payoff is calculated evaluating an integral with the Monte Carlo method using a variance reduction technique based on a suitable approximation of the transition probability density function of the Heston model. As a test case, we evaluate the price of a discrete arithmetic average Asian option, when the average over n = 12 prices is considered, that is when the integral to evaluate is a 2n = 24 dimensional integral. We show that the method proposed is computationally efficient and gives accurate results.     

Sufficient conditions for expected utility to imply drawdown-based performance rankings

The least restrictive sufficient condition for expected utility to imply Sharpe ratio rankings is the location and scale (LS) property (see [Sinn, 1983] and [Meyer, 1987]). The normal, the extreme value, and many other distributions commonly used in finance satisfy this property. We argue that the LS property is also sufficient for expected utility to imply drawdown-based performance measure rankings, because for investment funds satisfying the LS condition, the Sharpe ratio and drawdown-based performance measures result in identical rankings. Hence, the same conditions that provide an expected utility foundation for the Sharpe ratio also provide a foundation for drawdown-based performance measures. We conclude that from a decision-theoretic perspective, drawdown-based performance measures are as good as the Sharpe ratio.     

Paulson's gift

We calculate the costs and benefits of the largest ever US government intervention in the financial sector announced during the 2008 Columbus-day weekend. We estimate that this intervention increased the value of banks’ financial claims by $130 billion (bn) at a taxpayers’ cost of $21–$44 billion with a net benefit between $86 and $109 bn. By looking at the limited cross section, we infer that this net benefit arises from a reduction in the probability of bankruptcy, which we estimate would destroy 22% of the enterprise value. The big winners of the plan were the bondholders of the three former investment banks and Citigroup, while the losers were JP Morgan shareholders and the US taxpayers.     

Pricing innovations in consumption growth: A re-evaluation of the recursive utility model

We re-evaluate the cross-sectional asset pricing implications of the recursive utility function of  and , using innovations in future consumption growth in our tests. Our empirical specification helps explain the size, value and momentum effects. Specifically, we find that (?) the beta associated with news about consumption growth has a systematic pattern: beta decreases along the size dimension and increases along the book-to-market and momentum dimensions, (??) innovation in consumption growth is significantly priced in asset returns using both the Fama and MacBeth (1973) and the stochastic discount factor approaches, and (???) the model performs better than both the CAPM and Fama–French model.     

Financial guarantors’ executive compensation,charter value and risk-taking

Financial guarantees have been extensively used recently as part of rescue packages to bail out troubled institutions and governments around the world. We propose a new incentive compensation model for studying agency conflict between the shareholders and the manager of a typical financial guarantor. In our model, the manager chooses the guarantor's risk level, with disutility to reduce risk (i.e., reducing the risk of the guarantor incurs a direct cost to the manager). Moral hazard causes the manager to select a level of risk that is higher than the level chosen in an otherwise first-best environment with no conflict of interest between the shareholders and the manager. However, in our proposed framework, charter value plays a self-disciplining role on the manager's appetite for risk, therefore it helps mitigate the extent of the deviation from first best with agency conflict found previously (e.g., 0055, 0015 and 0020). This suggests that researchers should study charter value, managerial compensation and risk decisions within a unified framework and not separately, as all studies have done in the past.     

Modelling the economic value of credit rating systems

In this paper we develop a model of the economic value of credit rating systems. Increasing international competition and changes in the regulatory framework driven by the Basel Committee on Banking Supervision (Basel II) called forth incentives for banks to improve their credit rating systems. An improvement of the statistical power of a rating system decreases the potential effects of adverse selection, and, combined with meeting several qualitative standards, decreases the amount of regulatory capital requirements. As a consequence, many banks have to make investment decisions where they have to consider the costs and the potential benefits of improving their rating systems. In our model the quality of a rating system depends on several parameters such as the accuracy of forecasting individual default probabilities and the rating class structure. We measure effects of adverse selection in a competitive one-period framework by parameterizing customer elasticity. Capital requirements are obtained by applying the current framework released by the Basel Committee on Banking Supervision. Results of a numerical analysis indicate that improving a rating system with low accuracy to medium accuracy can increase the annual rate of return on a portfolio by 30–40 bp. This effect is even stronger for banks operating in markets with high customer elasticity and high loss rates. Compared to the estimated implementation costs banks could have a strong incentive to invest in their rating systems. The potential of reduced capital requirements on the portfolio return is rather weak compared to the effect of adverse selection.     

Too Big to Be Efficient? The Impact of Implicit Subsidies on Estimates of Scale Economies for Banks

We examine whether “too‐big‐to‐fail” (TBTF) factors affect estimates of scale economies for large banks. From a standard model of bank production that does not control for any TBTF factors, we find evidence of scale economies for our sample of large banks. We then control for TBTF factors by using a measure of the “implicit subsidy” that emerges from a reduction in TBTF banks’ funding costs due to investor expectations of government support. We do this in two ways: first, we estimate scale economies from an augmented model of bank production that employs a proxy for the counterfactual price of debt that banks would face in the absence of any TBTF funding cost advantage; second, we estimate scale economies from a model of bank production that is estimated only for a sample of banks considered unlikely to be TBTF. After controlling for TBTF factors using either method, we no longer find evidence of scale economies for our sample of large banks. These results suggest that estimated scale economies for large banks are affected by TBTF factors.     

The intraday impact of company responses to exchange queries

This study investigates Australia’s unique continuous disclosure regime using intraday data on the Australian Securities Exchange (ASX) over the period January 2010–April 2012. We examine abnormal returns and trading volumes that accrue to shareholders immediately after an announcement responding to a trading induced query. The use of intraday data permits us to examine the direct impact of these events, and the length of time the market takes to incorporate this information with a higher degree of precision than the research currently on offer. The study is framed within an event study methodology, with a number of robustness measures: a matched sample approach; analysis of cross-sectional determinants; the removal of penny stocks; and, procedures to account for sample selection bias. We find significant share price reversals following a query announcement, with a reversal of 3.3% by the end of the widest event interval. Our study also provides evidence that the market takes up to 60 min to impound this information. Overall, we provide support for the efficacy of the query framework administered by the ASX.     

Speed of convergence to market efficiency for NYSE-listed foreign stocks

This paper contributes to the cross-listing literature by documenting the speed of convergence to market efficiency for foreign stocks listed on the NYSE. We find that, on average, it takes 30–60 minutes for a foreign stock to achieve market efficiency. For a comparable US stock, it takes only 10–15 minutes. The significant difference between foreign and US stocks remains robust when the speed is measured by the number of transactions rather than in calendar time. After relevant firm characteristics are controlled for, the time that it takes for foreign stocks to reach efficiency is significantly negatively related to the quality of their home country institutions. We find that one possible channel through which institutions affect the speed is through their impact on information asymmetry.     

Too big to fail: Some empirical evidence on the causes and consequences of public banking interventions in the UK

During the 2007–09 financial crisis, the banking sector received an extraordinary level of public support. In this empirical paper, we examine the determinants of a number of public sector interventions: government funding or central bank liquidity insurance schemes, public capital injections, and nationalizations. We use bank-level data spanning all British and foreign banks operating within the United Kingdom. We use multinomial logit regression techniques and find that a bank's size, relative to the size of the entire banking system, typically has a large positive and non-linear effect on the probability of public sector intervention for a bank. We also use instrumental variable techniques to show that British interventions helped; there is fragile evidence that the wholesale (non-core) funding of an affected institution increased significantly following capital injection or nationalization.     

The happy story of small business financing

We examine two data sets, one from the UK (n = 15,750) and one from the US (n = 3239), to show that SME financial behaviour demonstrates substantial financial contentment, or ‘happiness’. We find fewer than 10% of the UK firms seek significant growth and only 1.32% of US firms list a shortage of capital other than working capital as a problem. Financial performance indicators (growth, return on assets, profit margin) were not found to be determinants of SME financing activities, as might be expected in a ‘rational’ risk–return environment. Younger and less educated SME owners more actively use external financing – even though more education reduces the fear of loan denial – while older and more educated (‘wiser’) SME owners are found to be being less likely to seek or use external financing. The contentment hypothesis for SME financing also extends to high-growth firms in that we show that they participate more in the loan markets than low-growth firms. By way of contrast to the finance gap hypothesis, the contentment hypothesis observes the importance of social networks (connections) [for finance] and confirms the ‘connections – happiness’ linkage in the literature on happiness while doubting the theoretical suitability of Jensen and Meckling [Jensen, M., Meckling, W., 1976. Theory of the firm: Managerial behavior, agency costs, and ownership structure. Journal of Financial Economics 3, 305–360.] base-case analysis for SMEs.     

The Basel III Net Stable Funding Ratio and bank net interest margins

The Net Stable Funding Ratio (NSFR) is a new Basel III liquidity requirement designed to limit funding risk arising from maturity mismatches between bank assets and liabilities. This study explains the NSFR and estimates this ratio for banks in 15 countries. Banks below the ratio need to increase stable sources of funding and to reduce assets requiring funding. The most cost-effective strategies to meet the NSFR are to increase holdings of higher-rated securities and to extend the maturity of wholesale funding. These changes reduce net interest margins by 70–88 basis points on average, or around 40% of their year-end 2009 values. Universal banks with diversified funding sources and high trading assets are penalized most by the NSFR.     

When are path-dependent payoffs suboptimal?

Generalizing a result by  and , this note shows that risk-averse investors with fixed planning horizon prefer path-independent payoffs in any financial market if the pricing kernel is a function of the underlying’s price at the end of the planning horizon. Generally, for every payoff which is not a function of the pricing kernel, there is a more attractive alternative that depends solely on the pricing kernel at the end of the planning horizon.     

Maxing out: Stocks as lotteries and the cross-section of expected returns

Motivated by existing evidence of a preference among investors for assets with lottery-like payoffs and that many investors are poorly diversified, we investigate the significance of extreme positive returns in the cross-sectional pricing of stocks. Portfolio-level analyses and firm-level cross-sectional regressions indicate a negative and significant relation between the maximum daily return over the past one month (MAX) and expected stock returns. Average raw and risk-adjusted return differences between stocks in the lowest and highest MAX deciles exceed 1% per month. These results are robust to controls for size, book-to-market, momentum, short-term reversals, liquidity, and skewness. Of particular interest, including MAX reverses the puzzling negative relation between returns and idiosyncratic volatility recently shown in 2 and 3.     

Foreign exchange market efficiency under recent crises: Asia-Pacific focus

The Asia-Pacific region’s currency markets are generally efficient within-country when tested using the 30 and 31 cointegration technique whereas market efficiency fails to hold when tested using Fama’s (1984) conventional regression. Using the Pilbeam and Olmo (2011) model, we reconcile these conflicting findings. The Pilbeam and Olmo (2011) model confirms within-country market efficiency. It further confirms that free-float currency markets are more resilient than managed-float currency markets among 12 Asia-Pacific economies. From the across-country perspective, the foreign exchange markets are mostly efficient and the results show that the 1997–1998 Asian financial crisis was a more disturbing event than the 2008–2009 global financial crisis in the region.