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.     

Dividend privileges and the value of voting rights: Evidence from Italy

The present paper proposes a new measure of the voting right, the Relative Vote Segment, which incorporates dividend privileges into the inferior class of shares. We test and compare it against the standard Relative Price Difference and the Nenova (2003) measure using 1998–2008 data from Italy, a country where dividend privileges are relevant. Results show that when dividend privileges are considered, the average voting right equals + 35.63%, while its estimated value corresponds to a significantly lower + 20.35% and + 1.29% with the Relative Price Difference and the Nenova (2003) measure, respectively. Negative values of voting rights drop significantly with our methodology. Results become even more clear-cut when we clean the sample of possible measurement errors. As far as the determinants of the voting premium are concerned, the choice of the measure does not appear to have a significant impact, as long as the dividend differences are controlled for.     

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.     

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.     

Command-and-control: Alternative futures of geoengineering in an age of global weirding

In July 2012, Russ George, the founder of Planktos Inc., organized efforts to dump 100 tons of iron sulfate off the coast of Canada to engineer a plankton bloom that would, ostensibly, absorb carbon dioxide and store it in the depths of the Pacific Ocean. As George's geoengineering experiment is one of the largest and first of its kind, many were quick to denounce his rogue action while others were delighted to see that he succeeded as a large algae bloom was reported to have emerged. Using the George event as a point of entry for exploring alternative futures of geoengineering in an age of global weirding, this project fuses the 2 × 2 scenario modeling technique with the “Mānoa School” four-futures method by situating command and control, along X (control) and Y (command) axes as two critical uncertainties and key drivers of change that will impact the design, development, and diffusion of climate mitigation engineering initiatives, which some see as holding the only solution to avert global catastrophe and others condemn as a postnormal remedy.     

The importance of size in private equity: Evidence from a survey of limited partners

Using a comprehensive survey, we show that investors with a larger capital allocation to private equity are more specialized − measured by the degree to which the investor focuses on private equity rather than other classes of investments − and have a wider scope of due diligence and investment activities. Other investor characteristics (experience, type, location, compensation structure, number of funds under management) play no role. In particular, endowments are not special according to the survey measures. These results are consistent with the changing LP–GP relationship in private equity as capital is increasingly concentrated in the hands of large investors.     

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.     

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.     

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.     

Measuring the resiliency of an electronic limit order book

An electronic limit order book is resilient when it reverts to its normal shape promptly after large trades. This paper suggests a continuous-time impulse response function based on intensities, which formalizes resiliency in terms of a time-frame and probability of order book replenishment. This is then estimated for trading on an LSE order book, using an appropriate parametric model which views orders and cancellations as a mutually-exciting ten-variate Hawkes point process. Consistent with findings in the related literature, in over 60 per cent of cases, the order book does not replenish reliably after a large trade. However, if it does replenish, it does so with a fairly fast half life of around 20 s. Various other dynamics are quantified.     

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.     

Do FOMC minutes matter to markets? An intraday analysis of FOMC minutes releases on individual equity volatility and returns

This paper examines the 2006 to 2007 time period to determine the extent to which the release of the Federal Reserve minutes affects equity volatility and returns for 2832 individual firms. Using intraday data, we find that equity returns are essentially unaffected by FOMC minutes releases. We do find evidence of volatility effects, in that conditional volatility is lower prior to the minutes release and higher after the minutes release on release days, relative to a “control” day one week prior to the release date. These differences manifest at the 2:00–2:05 pm interval, and generally dissipate within 15 min. Consistent with previous literature, we also find evidence of both industry-specific and firm size effects in our data. Finally, we see that volatility is higher (lower) when the minutes are released after the Federal Reserve engages in restrictive (expansionary) monetary policy. Our results are robust to a variety of different definitions of the “control” dates, as well as differing industry definitions.     

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.     

Non-government organisations and the dialectics of state and civil society

This paper is concerned with envisioning the development of non-government organisations (NGOs) in Australia over the next 200 years. It begins with a discussion of a hypothetical NGO, providing vignettes of its activities in 2104 and 2204, and sketching out contextual factors that might influence NGO development. This discussion is followed by an outline of the methodology upon which the projections indicated in the hypothetical case-study are based. Three methodological approaches are used. The first approach begins from an analysis of current contextual trajectories, and projects the role of NGOs within these trajectories. The second approach postulates that the changes that will occur will be affected by the reflexive nature of social change, involving continual reflection and action. The third methodological approach draws on this notion of reflexivity, but emphasises that social change is not only a reflexive process, it is also a dialectical one. The dialectical approach rests on the premise that change occurs through a process of the accumulation of contradictions, challenge and resolution. Using these methodological approaches the paper proceeds to identify three factors which will influence the Australian NGO sector in the next 200 years. These factors are the shifting relations between the state and civil society, including the rise of the neo-authoritarian state in the 21st century; the ways in which least advantaged people are dealt with and, finally, the idea of risk society. While it is more difficult to identify the contextual and NGO trajectories into the 22nd and 23rd centuries, the paper postulates a more utopian vision for NGOs in Australia in 200 years time, where the category of people who had been previously marginalised disappears, and the major roles of NGOs are to ensure cultural diversity and develop civil labour.     

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.     

Construcción de un instrumento para medir el clima organizacional en función del modelo de los valores en competencia

The purpose of this study was to explore a model in the Mexican labor field that contextualizes organizational climate and links it with organizational culture. The Competing Values Framework (CVF), by K. S. Cameron & R. E. Quinn, was chosen due to its importance as the framework with more empirical evidence regarding corporate culture. The CVF proposes a four-quadrant structure for organizations: 1) internal focus, flexibility (clan), 2) internal focus, stability and control (hierarchy), 3) external focus, flexibility (adhocracy), and 4) external focus, stability and control (market). Likewise, it states that organizations present a mix of values from all quadrants. Overall, the findings of the study founded the model on a heterogeneous sample of 12 organizations (n = 1424) in the central region of Mexico. In addition to the model, a primer version of an instrument was designed with the intention to measure organizational climate according to the CVF. The instrument proved its capability to discriminate amongst organizations and, in general, its reliability and validity.     

Under-or-overreaction: Market responses to announcements of earnings surprises

We test whether the well-documented market reaction to the announcements of earnings surprises is a manifestation of an investor underreaction or overreaction to extremely good or bad earnings news. Using the market reaction in the three-day period surrounding the announcements of extreme earnings surprises (i.e., SUE) in quarter Q_t as a reference point, we show that firms reporting a high (low) SUE in subsequent quarter Q_t + 1 that confirms their initial quarter Q_t SUE ranking in the same highest or lowest SUE quintiles generate an incremental price run that moves in the same direction as that of the initial SUE. However, the price impact of the confirming SUE signal is weaker than that of its initial SUE. Our findings are robust to the Fama-French three-factor daily regression extended by the momentum factor and a number of other robustness tests. Our result is not consistent with the prevalent view that investors underreact to earnings news. To the contrary, the evidence suggests an initial investor overreaction to extreme SUE signals.     

Investor sentiment and stock returns: Wenchuan Earthquake

This paper exploits a natural experiment (the Wenchuan Earthquake in China) to study the effects of investor sentiment on stock returns. We find that during the 12 months following the earthquake, stock returns are significantly lower for firms headquartered nearer the epicenter than for firms further away. Further analyses indicate that this pattern of stock returns does not exist before or long after the earthquake, and cannot be explained by actual economic losses or a change in systematic risk. Overall, our evidence is consistent with the interaction of local bias and investor sentiment affecting stock returns.