How does the call market method affect price efficiency? Evidence from the Singapore Stock Market

On August 21, 2000, the Singapore Exchange (SGX) adopted the call market method to open and close the market while the remainder of the day’s trading continued to rely on the continuous auction method. The call method significantly improved the price discovery process and market quality. A positive spillover effect is observed from the opening and closing calls. Day-end price manipulation also declined after the introduction of the call market method. However, the beneficial impact from the call market method is asymmetric, benefiting liquid stocks more than illiquid stocks.     

Can stochastic discount factor models explain the cross-section of equity returns?

We propose a multivariate test of the capital asset pricing model (C-CAPM) of the cross-sectional variation in equity returns in which we compare cross-sectional variation in equity returns to the cross-sectional variation in their conditional covariance with stochastic discount factors. We use a multivariate generalized heteroskedasticity in mean model to estimate 25 portfolios that are formed on size and the book-to-market ratio. Each portfolio is allowed to have its own no-arbitrage condition. We find that although the conditional covariances of returns with consumption exhibit negative variation across size, they do not vary across the book-to-market ratio. Thus, C-CAPM can capture the size effect, but not the value effect. The fit is, however, improved by allowing the coefficients on the consumption covariances to be different. The value effect appears to be associated with the book-to-market ratio as well as size. On its own the book-to-market ratio does not generate additional information about average returns to C-CAPM. A possible explanation for these findings is that both small and low book-to-market ratio firms are expected to have higher rates of growth.     

How does competition affect bank risk-taking?

A common assumption in the academic literature and in the supervision of banking systems is that franchise value plays a key role in limiting bank risk-taking. As market power is the primary source of franchise value, reduced competition in banking markets has been seen as promoting banking stability. A recent paper by Martínez-Miera and Repullo (MMR, 2010) shows that a nonlinear relationship theoretically exists between bank competition and risk-taking in the loan market. We test this hypothesis using data from the Spanish banking system. After controlling for macroeconomic conditions and bank characteristics, we find support for this nonlinear relationship using standard measures of market concentration in both the loan and deposit markets. When direct measures of market power, such as Lerner indices, are used, the empirical results are more supportive of the original franchise value hypothesis, but only in the loan market. Overall, the results highlight the empirical relevance of the MMR model, even though further analysis across other banking markets is needed.     

How does managed care do it?

Integrating the health services and insurance industries, as health maintenance organizations (HMOs) do, could lower expenditure by reducing either the quantity of services or unit price or both. We compare the treatment of heart disease in HMOs and traditional insurance plans using two datasets from Massachusetts. The nature of these health problems should minimize selection. HMOs have 30% to 40% lower expenditures than traditional plans. Both actual treatments and health outcomes differ little; virtually all the difference in spending comes from lower unit prices. Managed care may yield substantial increases in measured productivity relative to traditional insurance.     

How does electronic trading affect efficiency of stock market and conditional volatility? Evidence from Toronto Stock Exchange

The present paper investigates informational efficiency and changes in conditional volatility of the TSX before and after the implementation of an automated trading system on April 23, 1997. Using a battery of unit root, stationarity, as well as linear tests, we find that the introduction of electronic trading led to an increase in linearity dependence in TSX daily returns. In addition, when we examined the nonlinearity dependences using powerful econometric tests, we find that electronic trading has increased nonlinear dependencies in return series, which is the main cause of rejecting the Random Walk Hypothesis (RWH). Our results suggest that the automated trading system has negatively affected informational efficiency of the TSX. We also find evidence of long memory following automation which suggests that the introduction of electronic trading has increased the level of persistence of information and trading shocks.     

How much cash does your company need?

In late 2001, the directors of Pfizer asked that very question. And with good reason. After its 2000 merger with rival Warner-Lambert, the New York-based pharmaceutical giant found itself sitting on a net cash position of $8 billion, which seemed extraordinarily conservative for a company whose products generated $30 billion in revenues. Most large companies with revenues that healthy would increase leverage, thereby unlocking tremendous value for shareholders. But knowledge-intensive companies like Pfizer, this author argues, are in a class apart. Because their largely intangible assets (like R&D) are highly volatile and cannot easily be valued, they are more vulnerable to financial distress than are firms with a preponderance of tangible assets. To insure against that risk, they need to maintain large positive cash balances. These companies' decisions to run large cash balances is one of the key reasons their shares sustain consistent premiums. Only by investing in their intangible assets can knowledge-based companies hope to preserve the value of those assets. A company that finds itself unable to do so because unfavorable market conditions reduce its operating cash flows will see its share price suffer almost as much as if it were to default on its debts. By the same token, with the right balance sheet, knowledge companies can profitably insure against the risk of failing to sustain value-added investments in difficult times. An optimal capital structure that calls for significant cash balances is certainly at odds with the results of a traditional capital structure analysis, the author demonstrates, but it explains the financial policies of many well-run companies, from Pfizer to Intel to ChevronTexaco.     

How does service drive the service company?

"How Does Service Drive the Service Company?" presents commentators on Leonard A. Schlesinger and James L. Heskett's September-October article. Commentators include Michael R. Quinlan, Ron Zemke, Jim Snider, Dinah Nemeroff, Steven S. Reinemund, Robert Ayling, Karmjit Singh, James A. Perkins, Joseph E. Antonini, and Walter F. Loeb.     

How does long-term finance affect economic volatility?

In an approach analogous to Rajan and Zingales (1998), we examine how the ability to access long-term debt affects firm-level growth volatility. We find that firms in industries with stronger preference to use long-term finance relative to short-term finance experience lower growth volatility in countries with better-developed financial systems, as these firms may benefit from reduced refinancing risk. Institutions that facilitate the availability of credit information and contract enforcement mitigate refinancing risk and therefore growth volatility associated with short-term financing. Increased availability of long-term finance reduces growth volatility in crisis as well as non-crisis periods.     

How does customer motivational orientation affect satisfaction?

This study examines the link between customer motivational orientation and customer satisfaction in the Chinese context. The customer motivational orientation–satisfaction model was tested on 349 Chinese bank customers in Macao, China. Results of structural equation modelling indicated that task-oriented and interaction-oriented customers were not equally responsive to the financial services provided. Specifically, task motivational orientation was directly and indirectly related to customer satisfaction through customer perceived service quality, whereas interaction motivational orientation only linked to customer satisfaction through customer perceived service quality as a mediator. The theoretical and practical implications of the findings are discussed.     

How does competition affect bank systemic risk?

Using bank level measures of competition and co-dependence, we show a robust negative relationship between bank competition and systemic risk. Whereas much of the extant literature has focused on the relationship between competition and the absolute level of risk of individual banks, in this paper we examine the correlation in the risk taking behavior of banks. We find that greater competition encourages banks to take on more diversified risks, making the banking system less fragile to shocks. Examining the impact of the institutional and regulatory environment on bank systemic risk shows that banking systems are more fragile in countries with weak supervision and private monitoring, greater government ownership of banks, and with public policies that restrict competition. We also find that the negative effect of lack of competition can be mitigated by a strong institutional environment that allows for efficient public and private monitoring of financial institutions.     

How does house price influence monetary policy transmission?

The literature has focused on house price growth to explain the inefficiency of monetary policy. From the perspective of substitution, this paper explains the relationship between house prices and monetary policy considering not only house price growth but also house price uncertainty. By constructing a theoretical model including both financial-asset and fixed-asset investment, we find that expansionary monetary policy not only promotes total investment but simultaneously also leads to substitution towards financial assets. However, a rise in house price growth or house price uncertainty will mitigate the substitution effect generated by monetary policy. These propositions are supported by empirical data on China's nonfinancial listed firms from 2009 Q1 to 2018 Q3 and the results are robust to a variety of model specifications and empirical approaches. Our findings imply that real estate regulatory policy should coordinate with monetary policy in maximizing fixed-asset investment.     

How does banking sector globalization affect banking crisis?

A key feature of financial services liberalization is increasing banking-sector globalization.Using different measures to capture this phenomenon, the present study examines its impact on banking crisis for a dataset of 138 nations spanning the period 1998–2013, while controlling for other banking-industry specific, macroeconomic and external factors. Employing different econometric models and several robustness checks, I find greater banking sector globalization to reduce the occurrence of banking crisis. Moreover, greater bank asset concentration, diversification, credit flows, real interest rates, inflation rates, M2-to-foreign exchange reserves and nominal exchange rate depreciations significantly increase the likelihood of banking crisis, while higher bank profits, real GDP growth, economic development and economic freedom lower such chances. The results are further examined for nations across different levels of economic development and with different degrees of foreign bank penetration. The findings underscore that foreign bank presence provides greater financial stability in the banking industry of host nations.     

How does quasi-indexer ownership affect corporate tax planning?

We study whether, and more importantly, through what mechanisms, quasi-indexers affect portfolio firms’ tax planning by employing the discontinuity in quasi-indexer ownership around the Russell 1000/2000 index cutoff. Using a regression discontinuity design, we find that higher quasi-indexer ownership leads to greater tax saving. With respect to the mechanisms, we find that the greater tax saving is a result of a focus on improved overall firm performance, not a specific focus on improved tax planning. We further find that the documented tax saving effect is partially due to quasi-indexers’ influences on executive equity incentives, corporate governance, and information environment.     

How does foreign entry affect domestic banking markets?

Using 7900 bank observations from 80 countries for the 1988–1995 period, this paper examines the extent and effect of foreign presence in domestic banking markets. We investigate how net interest margins, overhead, taxes paid, and profitability differ between foreign and domestic banks. We find that foreign banks have higher profits than domestic banks in developing countries, but the opposite is the case for developed countries. Estimation results suggest that an increased presence of foreign banks is associated with a reduction in profitability and margins for domestic banks.     

How does trading volume affect financial return distributions?

We assess investors' reaction to new information arrivals in financial markets by examining the relationships between trading volume and the higher moments of returns in 18 international equity and currency markets. Our volume-volatility results support extant information theories and further contribute new evidence of cross market relations between volume and volatility. We also find that the direct impact of volume on the level of negative skewness is less significant for more diversified regional portfolios. Furthermore, the negative interaction between volume and kurtosis can be explained by the differences of opinion in financial markets. We observe stronger interdependence among higher moments in reaction to significant events, but the strength is dampened by trading volume. This result is consistent with trading volume being a source of heteroskedasticity in asset returns.     

How does investor relations disclosure affect analysts' forecasts?

We study the relationship between investor relations disclosure and analyst forecast properties in Australian firms, a setting dominated by small firms with limited analyst coverage and requiring continuous disclosure of price sensitive information. We find increasing disclosure in the time period investigated is associated with greater accuracy in firms disclosing fewer items. Disclosure was unrelated to forecast dispersion, possibly due to the low analyst following. In periods of uncertainty, the investor relations awards effectively discriminated quality from quantity of disclosure. These findings highlight the importance of active communication with analysts, particularly in firms providing less disclosure and during periods of uncertainty.     

How does capital affect bank performance during financial crises?

This paper empirically examines how capital affects a bank’s performance (survival and market share) and how this effect varies across banking crises, market crises, and normal times that occurred in the US over the past quarter century. We have two main results. First, capital helps small banks to increase their probability of survival and market share at all times (during banking crises, market crises, and normal times). Second, capital enhances the performance of medium and large banks primarily during banking crises. Additional tests explore channels through which capital generates these effects. Numerous robustness checks and additional tests are performed.     

Asset allocation: How much does model choice matter?

This paper analyzes the optimal portfolio decision of a CRRA investor in models with stochastic volatility and stochastic jumps. The investor follows a buy-and-hold strategy in the stock, the money market account, and one additional derivative. We show that both the type of the model and the structure of the risk premia have a significant impact on the optimal portfolio, on the utility gain from having access to derivatives, and on whether the investor prefers to trade OTM or ATM options. We also show that model mis-specification results in significant utility losses. Omitting jumps in volatility can be devastating, in particular if the investor chooses the seemingly optimal OTM put options. A misestimation of the structure of the risk premia has a less devastating effect, but can still lead to a loss of around 4% in the annual certainty equivalent return.     

How well does nonlinear mean reversion solve the PPP puzzle?

This paper addresses the degree to which models which exhibit nonlinear mean reversion (NMR) present a resolution to the Purchasing Power Parity Puzzle. This paper develops a method of estimating a representative distribution of half lives which is based upon the observed distribution of shocks in a given time series rather than choosing shock sizes arbitrarily which is the current practice in the literature. This approach is implemented with data on five real exchange rates. The empirical analysis shows that half lives shorter than the consensus are observed frequently enough to support the proposition that NMR is a solution to the PPP puzzle.     

How does working in a finance profession affect mortgage delinquency?

This paper uses a dataset from a leading American subprime lender, which contains detailed information on borrower and loan characteristics. We find that financial professionals are less likely to become delinquent. This effect cannot be explained by borrower characteristics, such as income, education, loan terms, property characteristics, geographic effects, or strategic default. We also find variation in the effect of working in a financial profession across borrowers of different ages and income levels. We discuss explanations for these results.