Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets

Using two newly available ultrahigh-frequency datasets, we investigate empirically how frequently one can sample certain foreign exchange and U.S. Treasury security returns without contaminating estimates of their integrated volatility with market microstructure noise. Using the standard realized volatility estimator, we find that one can sample dollar/euro returns as frequently as once every 15 to 20 s without contaminating estimates of integrated volatility; 10-year Treasury note returns may be sampled as frequently as once every 2 to 3 min on days without U.S. macroeconomic announcements, and as frequently as once every 40 s on announcement days. Using a simple realized kernel estimator, this sampling frequency can be increased to once every 2 to 5 s for dollar/euro returns and to about once every 30 to 40 s for T-note returns. These sampling frequencies, especially in the case of dollar/euro returns, are much higher than those that are generally recommended in the empirical literature on realized volatility in equity markets. The higher sampling frequencies for dollar/euro and T-note returns likely reflect the superior depth and liquidity of these markets.     

The nexus between financial integration and real economy: Solow-growth model concept

This paper aims to investigate the nexus between financial integration and the real economy in ASEAN + 3 economies based on the concept of Solow-Growth Model. The equity indices as a proxy for financial markets are collected from each ASEAN + 3 members and are segmented between two periods; before and after the financial cooperation agreement period. The finding presents several outcomes; 1) no cointegration nexus is found in the system during the pre-agreement periods; 2) the markets are found cointegrated during the post-agreement period, 3) financial integration is found to influence the real sectors of ASEAN + 3 economies. Finally, this study offers policy implications to improve financial integration for stabilizing the real economy.     

Exact inference and optimal invariant estimation for the stability parameter of symmetric α-stable distributions

Hill estimation (Hill, 1975), the most widespread method for estimating tail thickness of heavy-tailed financial data, suffers from two drawbacks. One is that the optimal number of tail observations to use in the estimation is a function of the unknown tail index being estimated, which diminishes the empirical relevance of the Hill estimation. The other is that the hypothesis test of the underlying data lying in the domain of attraction of an α-stable law (α < 2) or of a normal law (α ≥ 2) for finite samples, is performed on the basis of the asymptotic distribution, which can be different from those for finite samples. In this paper, using the Monte Carlo technique, we propose an exact test method for the stability parameter of α-stable distributions which is based on the Hill estimator, yet is able to provide exact confidence intervals for finite samples. Our exact test method automatically includes an estimation procedure which does not need the assumption of a known number of observations on the distributional tail. Empirical applications demonstrate the advantages of our new method in comparison with the Hill estimation.     

Predictive regression with order-p autoregressive predictors

Studies of predictive regressions analyze the case where y_t is predicted by x_t ? 1 with x_t being first-order autoregressive, AR(1). Under some conditions, the OLS-estimated predictive coefficient is known to be biased. We analyze a predictive model where y_t is predicted by x_t ? 1, x_t ? 2,… x_t ? p with x_t being autoregressive of order p, AR(p) with p > 1. We develop a generalized augmented regression method that produces a reduced-bias point estimate of the predictive coefficients and derive an appropriate hypothesis testing procedure. We apply our method to the prediction of quarterly stock returns by dividend yield, which is apparently AR(2). Using our method results in the AR(2) predictor series having insignificant effect, although under OLS, or the commonly assumed AR(1) structure, the predictive model is significant. We also generalize our method to the case of multiple AR(p) predictors.     

Gaining a competitive edge through acquisitions: Evidence from the telecommunications industry

I study the announcement effects of all acquisitions in the recent telecom wave on both the acquirers and their industry competitors. I find evidence of negative rival returns (? 0.55%, t-stat = 2.47) by focusing on non-horizontal acquisitions where rivals are less susceptible to experience positive returns due to increased market power or expectation that some will become future targets themselves. I find that this effect is worse for closer rivals defined as having similar size and being in the same primary service area as the acquirer. Competitor returns are positively correlated with those of the acquirers suggesting that the negative impact experienced by competitors is driven by acquisitions in which the acquirer itself is earning negative abnormal returns. Results are broadly consistent with the Competitive Advantage Hypothesis that posits acquisitions are a means of corporate restructuring in a changing environment, awarding the acquirer a competitive edge and thereby making these acquisitions costly for their non-merging competitors.     

The effectiveness of competing regulatory regimes and the switching effects: Evidence from an emerging market

I investigate the effectiveness of two competing regulatory regimes and the effect of switching from strict price limits to circuit breakers on volatility spillover, and also on trading interference hypotheses. I find that switching to the circuit breakers' regime increases volatility and disrupts the price discovery mechanism. Stock prices are prevented from reaching their equilibrium levels and traders are unable to obtain their desired positions on limits hit day. Moreover, I find that volatility is spread out over the following 2 days post-limit hits within the strict price limits regime. Finally, the results show that price limits interfere with trading activity and affect investors' beliefs and liquidity positions.     

The effects of the method used to present a complex item on the face of a financial statement on nonprofessional investors' judgments

Our study is motivated by standard setters' (FASB, 2010; IASB, 2010a) interest in better understanding the effects of item complexity and disaggregation of financial information on users' decision processes. We examine whether the method used to present a complex item on a financial statement influences nonprofessional investors' judgments. We also examine whether disaggregation influences how different levels of item complexity are associated with judgments. Using a 2 × 2 between-subjects experiment, we manipulate variables representing presentation method (disaggregation versus aggregation) and level of item complexity (which is defined pension cost with high versus low volatility). With a sample of 114 nonprofessional investors, we find that when the complex item defined pension cost is disaggregated into its component parts and displayed in different sections of the statement of comprehensive income, nonprofessional investors acquire more information about the item and are able to more accurately understand the function of the item. This, in turn, helps the nonprofessional investors decide whether the information is useful in certain judgments. Additionally, we find that when a complex item is disaggregated, nonprofessional investors place even greater weight on their perceptions of level of item complexity in certain judgments. The results of this study are of value to managers, standard setters, and investors. For instance, results suggest that disaggregating a complex item across a financial statement can help nonprofessional investors learn how the component(s) driving a complex item relates to different economic events, improving their ability to understand and process the information in their judgments.     

The risk level discriminatory power of mutual fund investment objectives: Additional evidence

We reexamine the information content of mutual fund investment objectives to learn whether investors can use them to infer risk. For investment objectives to properly convey risk, risk must be heterogeneous between investment objective groups and homogeneous within them. The present study differs from earlier work in two important ways: (1) it reaches a generally different conclusion about within-objective class fund risk, and (2) it is being done against a backdrop of industry-wide incentive compensation structures that rely on these classifications as proxies for fund volatility. Empirical testing suggests that risk is heterogeneous within groups.     

Dynamic news effects in high frequency Euro exchange rates

This paper investigates the dynamic, short-run response of Euro exchange rate returns to the information surprise of global macroeconomic announcements. In addition, it advocates a new approach to modelling intraday exchange rate volatility to allow accurate characterisation of reactions. US macroeconomic news generates far more dramatic responses in EUR–USD returns and returns volatility than news on the macroeconomic performance of other countries. However, some Eurozone and German indicators are also important and UK announcements are important for the EUR–GBP rate. The reaction of exchange rate returns to news is very quick and occurs within the first 5 min of the release with very little reaction in the 15 min before and after. These findings show that exchange rates are strongly linked to fundamentals in the 5-min intervals immediately following the data release. Reactions to news are found to vary in magnitude over the sample, with the largest responses to news occurring in response to turning points in the cumulative flow of news.     

Market microstructure: A survey

Market microstructure studies the process by which investors’ latent demands are ultimately translated into prices and volumes. This paper reviews the theoretical, empirical and experimental literature on market microstructure relating to: (1) price formation, including the dynamic process by which prices come to impound information, (2) market structure and design, including the relation between price formation and trading protocols, (3) Transparency, the ability of market participants to observe information about the trading process, and (4) Applications to other areas of finance including asset pricing, international finance, and corporate finance.     

Mandatory CSR disclosure and analyst forecast properties: Evidence from a quasi-natural experiment in China

Based on a quasi-natural experiment that mandates a subset of listed firms to issue standalone corporate social responsibility (CSR) reports, we examine whether mandatory CSR disclosure improves analysts’ information environment. We focus on two properties of analysts’ earnings forecasts: forecast error and forecast dispersion. We find that the mandatory issuance of standalone CSR reports is related to less forecast error and less dispersed forecasts, and the effect varies with the firm-level information environment and province-level marketization. Additional tests show that the improvement in forecast properties is mainly driven by CSR reports that i) are of high quality and ii) contain more long-term-oriented information than other CSR reports. Our findings provide evidence that mandatory CSR disclosure plays an important informational role for financial analysts.     

The home bias is here to stay

Over the last 15 years, dramatically decreasing foreign investment costs have not reduced the home bias. We show that the home bias induced by a given cost is proportional to the factor ρ/(1 − ρ), where ρ is the average correlation between markets. This factor is very sensitive to the correlation, especially when the correlation is high. Empirically, correlations have been steadily increasing from 0.4 in the 90’s to about 0.9 today. Thus, the decreasing extra costs are increasingly magnified, explaining the persistence of the home bias, and predicting its continuation.     

The importance of the volatility risk premium for volatility forecasting

In this paper, we study the role of the volatility risk premium for the forecasting performance of implied volatility. We introduce a non-parametric and parsimonious approach to adjust the model-free implied volatility for the volatility risk premium and implement this methodology using more than 20 years of options and futures data on three major energy markets. Using regression models and statistical loss functions, we find compelling evidence to suggest that the risk premium adjusted implied volatility significantly outperforms other models, including its unadjusted counterpart. Our main finding holds for different choices of volatility estimators and competing time-series models, underlying the robustness of our results.     

How costly is the Sarbanes Oxley Act? Evidence on the effects of the Act on corporate profitability

The Sarbanes-Oxley Act (SOX) was intended to protect investors by improving the accuracy and reliability of corporate disclosures. However, critics have argued that the costs of SOX far outweigh its intended benefits. Prior studies based on stock-price reactions to SOX-related events document mixed evidence on the expected impact of SOX. In contrast, we provide evidence on the net realized costs of SOX by examining its impact on operating profitability. We find that average cash flows decline by 1.3% of total assets after SOX. These costs are more significant for smaller firms, for more complex firms, and for firms with lower-growth opportunities. Annually, these costs range from $6 million for smaller firms to $39 million for larger firms. Further, we document that net SOX-related costs are not limited to one-time expenses associated with internal-control design and implementation. In aggregate, for the 1428 firms in our sample, these costs amount to about $19 billion per year. Profitability is lower for up to four years post-SOX. To our knowledge, ours are the first estimates of the realized net costs imposed by SOX.     

Speed of convergence to market efficiency: The role of ECNs

Chordia, Roll and Subrahmanyam (2005, CRS) estimate the speed of convergence to market efficiency based on short-horizon return predictability of the 150 largest NYSE firms. We extend CRS to a broad panel of NYSE stocks and are the first to examine the relation between electronic communication networks (ECNs) and the corresponding informational efficiency of prices. Overall, we confirm CRS's result that price adjustments to new information occur on average within 5–15 min for large NYSE stocks. We further show that it takes about 20 min longer for smaller firms to incorporate information into prices. Most importantly, we demonstrate that the speed of convergence to market efficiency is significantly related to the type of trading platform where orders are executed, even after controlling for relative order flows, trading costs, volatility, informational effects, trading conditions, market quality, institutional trading activity, and other firm-specific characteristics. Our findings provide direct answers and insights to issues raised in a recent SEC concept release document.     

Between a rock and a hard place: New evidence on the relationship between ownership and voluntary disclosure

Combining two Swedish databases with unique strengths I show that stray firms, i.e. those lacking a controlling owner, have lower voluntary disclosure in financial reports (that is, information provided beyond what is formally required). This suggests managers prefer to withhold information to maximize their discretion over corporate policies. I also show that disclosure initially increases with block ownership, reflecting increased incentives to monitor and stronger governance. However, when block ownership exceeds a certain threshold level (> 50%), disclosure starts to decrease, reflecting another conflict of interest, namely between minority and controlling owners. Evidence of this non-linear relationship is novel in the literature and may account for the mixed evidence in previous research. Moreover, I report findings on the impact of institutional, foreign, under-diversified, and controlling minority-owners, concluding that ownership structure has major implications for voluntary disclosure.     

Design and evaluation of an advanced continuous data level auditing system: A three-layer structure

Audit efficiency and effectiveness can be significantly affected by data aggregation during audit procedures. Previous studies highlight that an appropriate level of data aggregation is needed because a continuous auditing (CA) system often generates numerous alarms. To respond to this issue, this study proposes a CA system with a three-layer structure. In the first layer of the proposed system, all journal entry level transactions are classified and aggregated using defined rules; any transactions that deviate from these rules are identified as unusual transactions. The second layer detects the observations that violate controls. Analytical monitoring models are developed in the final layer to identify observations that statistically deviate from an organization’s typical business behaviors. To examine whether the proposed three-layer CA system enhances the effectiveness of a CA system in identifying financial irregularities, this study empirically tests the proposed models using real-world journal entry data from a construction company. The results indicate that the proposed framework enhances audit effectiveness and efficiency.     

Towards an orientation of higher education in the post Rio + 20 process: How is the game changing?

The purpose of this paper is to identify and assess the implications of sustainable development for the future orientation of higher education, especially after the 2012 United Nations Conference on Sustainable Development (Rio + 20). A qualitative trend analysis is being used for this purpose, in the context of which three macro trends are combined: (1) higher education that has been developed via five periods; (2) sustainable development that has evolved through three stages; and (3) the nexus between sustainable development and higher education which has strengthened through three phases. The simultaneous analysis of the macro trends regarding their possible interactive effects (through an expert panel discussion) demonstrates that higher education and universities under the influence of sustainable development elements are entering into a new era in which the function of “higher education for sustainable development” could be interpreted as the seeds of a newly emerging mission for universities. In this regard, it is expected that the concept of “sustainable university” is likely to become more common to meet the emerging mission. Consistent with the Rio + 20 outcomes, the authors analyzed the concept of “sustainable university” and identified the fact that it is practically divided into three interrelated and complementary categories, namely social-, environmental-, and economic-oriented university in pursuit of actualizing sustainable development.     

Time to equilibrium in exchange rates: G-10 and Eastern European economies

This paper reports different times-to-equilibrium for G-10 developed economies and the Eastern European emerging economies. By applying a novel method of value-weighted index to highly-trade-linked economies, we test the purchasing power parity to the full length of time-to-equilibrium. The times-to-equilibrium obtained are: 6 years for developed and 2 years for emerging economies. These results are consistent with the sticky price hypothesis: economies trading in highly aggregated capital goods take longer time to reach price equilibrium in the face of overshooting exchange rates: the opposite is true for primary exporters. This finding is new for these two groups, and could be compared usefully with the earlier reports of long half-life for developed countries. Also, our method of measurement establishes the actual time of the theory prediction on price-to-currency relationship. It is possible to apply this methodology to study more groups of countries.     

Risk management implications of time-inconsistency: Model updating and recalibration of no-arbitrage models

A widespread approach in the implementation of asset pricing models is based on the periodic recalibration of its parameters and initial conditions to eliminate any conflict between model-implied and market prices. Modern no-arbitrage market models facilitate this procedure since their solution can usually be written in terms of the entire initial yield curve. As a result, the model fits (by construction) the interest rate term structure. This procedure is, however, generally time inconsistent since the model at time t = 0 completely specifies the set of possible term structures for any t > 0. In this paper, we analyze the pros and cons of this widespread approach in pricing and hedging, both theoretically and empirically. The theoretical section of the paper shows (a) under which conditions recalibration improves the hedging errors by limiting the propagation of an initial error, (b) that recalibration introduces time-inconsistent errors that violate the self-financing argument of the standard replication strategy. The empirical section of the paper quantifies the trade-off between (a) and (b) under several scenarios. First, we compare this trade-off for two economies with and without model specification error. Then, we discuss the trade-off when the underlying economy is not Markovian.