Derivative pricing using multivariate affine generalized hyperbolic distributions

In this paper we use multivariate affine generalized hyperbolic (MAGH) distributions, introduced by Schmidt et al. (2006), to show how to price multidimensional derivatives when the underlying asset follows a MAGH distribution. We also illustrate the approach using market data from the BOVESPA (São Paulo Stock Exchange) and the exchange rate of the Brazilian Real vs. US Dollar to price some multidimensional derivatives.     

Analytic option pricing and risk measures under a regime-switching generalized hyperbolic model with an application to equity-linked insurance

Option pricing and managing equity linked insurance (ELI) require the proper modeling of stock return dynamics. Due to the long duration nature of equity-linked insurance products, a stock return model must be able to deal simultaneously with the preceding stylized facts and the impact of market structure changes. In response, this article proposes stock return dynamics that combine Lévy processes in a regime-switching framework. We focus on a non-Gaussian, generalized hyperbolic distribution. We use the most popular linked equity of ELIs, the S&P 500 index, as an example. The empirical study verifies that the proposed regime-switching generalized hyperbolic (RSGH) model gives the best fit to data. In investigating the effects of stock return modeling on pricing and risk management for financial contracts, we derive the characteristic function, embedded option price, and risk measure of equity-linked insurance analytically. More importantly, we demonstrate that the regime-switching generalized hyperbolic (RSGH) model is realistic and can meet the stylistic facts of stock returns, which in turn can be employed in option pricing and risk management decisions.     

An empirical investigation of analytical procedures using mixture distributions

Analytical procedures are evaluations of account and transaction flow information made by a study of plausible relationships between both accounting and non‐accounting data. This study investigates the performance of Tweedie distributions (which have Gaussian distributions as members) in improving fit of zero‐inflated, non‐negative, kurtotic and multimodal analytical review data. The study found that account valuations are more informative than marginal data in analytical review, that mixture Poisson–Gamma distributions offer better fit than Gaussian distributions, even under assumptions of central limit theorem convergence, and that mixture Poisson–Gamma distributions provide better predictions of future account and transaction volumes and values. Model performance improvement with price versus returns data in this empirical study was substantial: from less than one‐quarter of variance, to almost two‐thirds. Tweedie generalized linear model risk assessments were found to be a magnitude smaller than traditional risk assessments, lending support to market inefficiency and increased risk from idiosyncratic factors. An example with several differing distributions shows that use of mixture distributions instead of point estimation can reduce sample size while retaining the power of the audit tests. The results of this study are increasingly important as accounting datasets are growing exponentially larger over time, requiring well‐defined roles for models, algorithms, data and narrative which can only be achieved with statistical protocols and algorithmic languages.     

The value of convexity: a theoretical and empirical investigation

We explore from a theoretical and an empirical perspective the value of convexity in the US Treasury market. We present a quasi-model-agnostic approach that is rooted in the existence of some affine model capable of recovering with good accuracy the market yield curve and covariance matrix. As we show, at least one such model exists, and this is all we require for our results to hold. We show that, as a consequence, the theoretical ‘value of convexity’ purely depends on observable features of the yield curve, and on statistically determinable yield volatilities. We then address the question of whether the theoretical convexity is indeed correctly reflected in the shape of the yield curve. We present empirical results about the predictive power of a strategy based on the discrepancies between the theoretical and the predicted value of convexity. By looking at 30 years of data, we find that neither the strategy of being systematically long or short convexity (and immunized against ‘level’ and ‘slope’ risk) would have been profitable. However, a conditional strategy that looks at the difference between the ‘implied’ and the statistically estimated value of convexity would have identified extended periods during which the proposed approach would have delivered attractive Sharpe Ratios.     

Multiscaling and rough volatility: An empirical investigation

Pricing derivatives goes back to the acclaimed Black and Scholes model. However, such a modelling approach is known not to be able to reproduce some of the financial stylised facts, including the dynamics of volatility. In the mathematical finance community, it has therefore emerged a new paradigm, named rough volatility modelling, that represents the volatility dynamics of financial assets as a fractional Brownian motion with Hurst exponent very small, which indeed produces rough paths. At the same time, prices’ time series have been shown to be multiscaling, characterised by different Hurst scaling exponents. This paper assesses the interplay, if present, between price multiscaling and volatility roughness, defined as the (low) Hurst exponent of the volatility process. In particular, we perform extensive simulation experiments by using one of the leading rough volatility models present in the literature, the rough Bergomi model. A real data analysis is also conducted to test if the rough volatility model reproduces the same relationship. We find that the model can reproduce multiscaling features of the prices’ time series when a low value of the Hurst exponent is used, but it fails to reproduce what the real data says. Indeed, we find that the dependency between prices’ multiscaling and the Hurst exponent of the volatility process is diametrically opposite to what we find in real data, namely a negative interplay between the two.     

Endogenous market statistics and security pricing:: An empirical investigation

This study examines empirically the degree to which the history of daytime and overnight price changes and order flow affects estimates of traders' beliefs about future security price changes. Estimates indicate that forecasts of the permanent component of price changes occurring after the open of trading are significantly related to past price changes and order flow; but the same is not generally true for price changes occurring after the close. These results are consistent with models of technical analysis, and models in which the process of trading facilitates price discovery. The evidence also suggests that private information is an important determinant of price movements.     

Interest rate derivatives at commercial banks: An empirical investigation

I analyze the effects of bank characteristics and macroeconomic shocks on interest rate risk-management behavior of commercial banks. My findings are consistent with hedging theories based on cost of financial distress and costly external financing. Banks with higher probability of financial distress manage their interest rate risk more aggressively, both by means of on-balance sheet and off-balance sheet instruments. As compared to the derivative users, the derivative non-user banks adopt conservative asset-liability management policies in tighter monetary policy regimes. Finally, I show that the derivative non-user bank's lending volume declines significantly with the contraction in the money supply. Derivative users, on the other hand, remain immune to the monetary policy shocks. My findings suggest that a potential benefit of derivatives usage is to minimize the effect of external shocks on a firm's operating policies.     

Accounting data and the credit spread: An empirical investigation

Measures of credit risk based on Merton (1974) rely upon information available in the market prices of securities. Under the Efficient Market Hypothesis market prices should reflect all available information and, hence, make redundant all other information in the analysis of credit risk. This paper examines whether accounting data are fully reflected in the market-based measures of credit risk and therefore has no role in explaining variations in the credit spread on corporate bonds. We use a sample consisting of over 11,000 firm-quarter observations with matched equity, bond and accounting data. The results suggest that equity volatility and Merton's distance-to-default outperform accounting variables in explaining variations in the credit spread. However, accounting variables are incrementally informative in explaining variations in the credit spread when considered in conjunction with market-based measures. Within the set of accounting variables considered, we find that the profitability ratio is by far the most incrementally informative accounting variable.     

The Japanese stock market and the macroeconomy: An empirical investigation

We investigate the relationship between macroeconomic variables, such as the industrial production index, interest rate and inflation rate, and the stock market, using Toda and Yamamoto (1995)'s vector autoregressions (VAR) specification. The major findings are: (1) macroeconomic variables do Granger cause the stock market variable, while reverse is not so clear. (2) The lagged stock market variable affects its current value but its impact tend to diminish in the long-run. Policy implication we draw is that the price keeping operation by the Japanese government would not work, but appropriate macroeconomic policies would benefit not only the real market but also the stock market.     

Policy-induced internal migration: An empirical investigation of the Canadian case

We investigate the influence of public policy on interprovincial migration in Canada using new aggregated migration data for 1974–1996, the longest period studied so far. We consider the consequences of regional variation in a variety of policies, and also investigate the effects of certain extraordinary events in Quebec and in the Atlantic provinces. The results indicate that while the changing bias in the unemployment insurance system may have induced some people to move to the relatively high unemployment Atlantic region, the resulting flows are likely too small to have altered regional unemployment rates. In contrast, political events in Quebec in the 1970's and the closing of the cod fishery in 1992 appear to be associated with large changes in migration patterns. JEL Classification H0 · H7 · J41 · J65 · R23 · R58     

Exchange rate pass-through and relative prices: An industry-level empirical investigation

In this paper we explore the extent of exchange rate pass-through for the USA, UK and Japan using a post-Bretton Woods industry-level dataset. We investigate how different channels of exchange rate pass-through affect domestic and import prices. Our analysis is suggestive of two channels of transmission and we find considerable variation in the extent of pass-through across industries and countries.     

The effect of conference calls on equity incentives: An empirical investigation

Conference calls have become increasingly common in recent years, yet there is little empirical evidence regarding the effect of conference calls on executive compensation. In this study, we examine the effect of voluntary disclosures on equity incentives. We hypothesize that voluntary disclosures, as measured by conference calls, affect executive compensation contracts. Using a dataset of 6263 firm-year observations from both conference call and non-conference call firms, our results are consistent with the argument that the board of directors substitutes voluntary disclosures for more costly corporate governance mechanisms. Alternatively, in firms where CEOs have less equity incentives, the owners demand more voluntary disclosures. The results of this study should be of great importance to executives and capital market participants internationally, such as investors and analysts, since we provide evidence that conference calls affect incentive based compensation contracts, which were shown in prior studies to be value relevant.     

Good news, bad news and rating announcements: An empirical investigation

In this paper we employ a new approach to test the contribution of information in rating announcements. This is the first study to test and corroborate how the CDS market responds to rating actions after controlling for the presence of concurrent public and private information. We show that since the clustering of rating announcements characterizes economically significant developments, the common practice of using “uncontaminated” samples underestimates market response. As in previous studies, we find that the market response to bad news is stronger than to good news. Nevertheless, bad news and negative rating announcements tend to cluster. Therefore, the residual contribution of negative rating announcements is small and in some cases insignificant. Positive rating announcements are less frequent and less clustered, though their residual contribution is still significant.     

Are international stock returns predictable?: An examination of linear and non-linear predictability using generalized spectral tests

This paper uses generalized spectral tests to examine whether international stock index returns are predictable using the history of the series. Unlike many other testing procedures, the generalized spectral tests used in this paper are robust to distributional assumptions, the presence of time-varying volatility, and allow for various forms of non-linear predictability. We find evidence of predictability in mean for over half of the international returns examined. In addition, we find most of the predictability to be non-linear in nature. The patterns of predictability are consistent with calendar effects and in some cases long-run dependence. Regardless of the implications of predictability of returns, this study is important because the generalized spectrum is defined for a range of different frequencies (corresponding to cycles of 2 days and greater), and we can therefore examine at what frequencies predictability occurs. This provides insight into whether there exists short-run, long-run, or both types of dependence.     

Emerging markets and portfolio foreign exchange risk: An empirical investigation using a value-at-risk decomposition technique

The correlation between a portfolio's equity and foreign exchange components plays a role in reducing foreign exchange exposure. Investors must account for this correlation when determining the extent of foreign exchange risk in emerging market equity portfolio investments. This study employs a VaR risk factor mapping technique, under the variance–covariance VaR approach, to decompose portfolio risk in Argentina, Brazil, China, India, Mexico and Russia. For comparison purposes, the same technique is used to decompose portfolio risk in the US. The study is conducted from the perspective of a European equity investor with a portfolio of equities in each country. By employing the VaR decomposition technique, the correlation between a portfolio's equity and foreign exchange components is taken into account and portfolio foreign exchange risk is extracted from portfolio systematic risk. Our results uniquely demonstrate significant variation in foreign exchange risk in emerging markets.     

R&D Progress, stock price volatility, and post-announcement drift: An empirical investigation into biotech firms

I investigate the effects of R&D progress on the dynamics of stock price volatility and the post announcement drift to provide insights into whether or not and how capital markets react to corporate R&D progress in the context of the biotech industry. I find both stock price volatility and the post announcement drift decrease in R&D progress. More importantly, the decrease is proportional to the increase in the drug development success rate driven by R&D progress. Findings suggest that R&D progress conveys useful risk-relevant information, and plays an important role in explaining stock price volatility change and market anomalies.     

The impact of corporate governance on financial performance of Indian and GCC listed firms: An empirical investigation

Corporate governance plays a vital role in creating a corporate culture of consciousness, transparency, and openness. In this context, this paper provides a brief view about the background of corporate governance mechanisms in India and Gulf Corporation Council (GCC) countries, corporate legal system and monitoring policies laid down by Indian and GCC governments. Furthermore, it analyzes the impact of corporate governance mechanisms on the financial performance of Indian and GCC listed firms. The study uses a sample that consists of 53 non-financial listed companies from India and 53 non-financial listed companies from GCC countries for the period 2009–2016. Results revealed that board accountability (BA) and audit committee (AC) have an insignificant impact on firms' performance measured by ROE and Tobin’s Q. Similarly, transparency and disclosure (TD) have an insignificant negative impact on firms' performance measured by Tobin’s Q. Moreover, the country dummy results show that Indian firms are performing better than Gulf countries ones in terms of corporate governance practices and financial performance. The current study is considered as a battery for further research and studies particularly in India & GCC listed firms in the context of corporate governance and financial performance.     

Hedge funds,CDOs and the financial crisis: An empirical investigation of the “Magnetar trade”

The so called Magnetar trade (a kind of capital structure arbitrage on the US housing market, using CDS and synthetic CDOs, and exploiting rating-dependent mispricing of risk) has gained a high publicity due to a Pulitzer Prize awarded media story from two journalists of ProPublica (an online news outlet). The story essentially claimed that the mortgage investment strategy of the hedge fund Magnetar during the period between 2006 and mid 2007 was based on a desire to construct CDO deals with riskier assets so that they could place bets that portions of their own deals would fail. This paper provides several pieces of evidence in line with the argument that tranches from Magnetar-sponsored CDOs present overly risky investments. However, investors and rating agencies appear to have adjusted their required spread levels and ratings to reflect this higher riskiness, at least to some extent.     

Volume- and size-related lead-lag effects in stock returns and volatility: An empirical investigation of the Warsaw Stock Exchange

We analyze the autocorrelation structure of returns and volatility of stocks listed in the single auction system on the Warsaw Stock Exchange during the period January 1996 - October 2000. First, we find that size- and volume-related cross-autocorrelation in portfolio returns exists even after accounting for the portfolio's own-autocorrelation. Second, we find that size and volume leadership are independent from each other. Third, our results indicate slower adjustment of the small (low volume) portfolios to market-wide information that differs for up and down markets. We also find evidence for volatility spillovers between portfolio returns.     

The pricing of leverage products: An empirical investigation of the German market for ‘long’ and ‘short’ stock index certificates

This paper describes the first thorough empirical analysis of the pricing of leverage products in the German retail market. These mainly exchange-traded products with an impressive trading volume are frequently advertised as long and short futures contracts, although they are theoretically equivalent to one-sided barrier options. Issuers’ daily quotes for stock index products are compared to (i) theoretical values derived from the prices of Eurex options and to (ii) boundaries obtained from semi-static superhedging strategies. For the vast majority of products, bid and ask quotes significantly exceed both theoretical values and upper hedging boundaries, thus providing almost risk-free profits for the issuers.