The information content of implied volatility in developed versus developing FX markets

This article predicts the daily movement of monthly foreign exchange (FX) rate volatility using a linear combination of a time-series model and implied volatilities from options. The focus is on analysing the FX volatilities in three developing economies (the Brazilian real (BRL), the Indian rupee (INR) and the Russian ruble (RUB)) against the US dollar (USD). The empirical exercise utilizes two time-series models, mixed data sampling (MIDAS) and GARCH. The analysis indicates that for both developed and developing economies the predictive power of MIDAS and that of GARCH is comparable. Further on in this article, we will ascertain whether the relationship between realized and implied volatility is fundamentally different in the case of developing economies from that among developed economies. Thus, we compare the pairs USD/BRL, USD/INR and USD/RUB against EURO/USD and USD/Japanese yen to determine the information content and predictive power of implied volatilities. Plots of the MIDAS coefficients show that the volatility is more persistent in developing economies than in developed economies.     

Inflationary shocks and real output growth in nine Muslim-majority countries: Implications for Islamic banking and finance

Low and stable inflation is important for maintaining the viability of Islamic banking and finance within a dual banking system. Inflationary shocks when transmitted to real output growth cause a shift of investment to fixed return products as a hedge against the uncertainty of returns on equity investment under Islamic profit-loss sharing contracts. This study examines the transmission of inflationary shocks to the real economy for nine Muslim-majority countries (Bahrain, Bangladesh, Egypt, Indonesia, Iran, Malaysia, Pakistan, Saudi Arabia, and Turkey) that have introduced Islamic banking, all except Iran within dual-banking systems. A structural vector autoregressive (SVAR) framework is deployed to understand macroeconomic relationships using annual data from the late 1970s to 2014. The key finding is that inflationary shocks affect real interest and exchange rates which in turn impact real output growth. The paper argues that the absorption of inflationary shocks in real interest and exchange rates is the outcome of rigidities in nominal interest and exchange rates within repressed financial systems. Policy regimes that allow for greater adjustment in nominal interest and exchange rates under a deregulated financial system would offer better shock absorption capacity which would lead to less volatility in inflation, real interest and exchange rates, and real output growth. The resulting more stable macroeconomic environment would be more conducive to the development of an Islamic financial sector that would promote economic growth.     

A NEW LOOK AT SHORT‐TERM IMPLIED VOLATILITY IN ASSET PRICE MODELS WITH JUMPS

We analyze the behavior of the implied volatility smile for options close to expiry in the exponential Lévy class of asset price models with jumps. We introduce a new renormalization of the strike variable with the property that the implied volatility converges to a nonconstant limiting shape, which is a function of both the diffusion component of the process and the jump activity (Blumenthal–Getoor) index of the jump component. Our limiting implied volatility formula relates the jump activity of the underlying asset price process to the short‐end of the implied volatility surface and sheds new light on the difference between finite and infinite variation jumps from the viewpoint of option prices: in the latter, the wings of the limiting smile are determined by the jump activity indices of the positive and negative jumps, whereas in the former, the wings have a constant model‐independent slope. This result gives a theoretical justification for the preference of the infinite variation Lévy models over the finite variation ones in the calibration based on short‐maturity option prices.     

VALUATION OF BARRIER OPTIONS VIA A GENERAL SELF‐DUALITY

Classical put–call symmetry relates the price of puts and calls under a suitable dual market transform. One well‐known application is the semistatic hedging of path‐dependent barrier options with European options. This, however, in its classical form requires the price process to observe rather stringent and unrealistic symmetry properties. In this paper, we develop a general self‐duality theorem to develop valuation schemes for barrier options in stochastic volatility models with correlation.     

The Risk Effects of Acquiring Distressed Firms

Existing research shows that bidder default risk increases following acquisitions due to a rise in post‐acquisition leverage and managerial risk‐taking actions offsetting the potential for asset diversification. This study examines whether the risk effects of acquiring distressed targets are fundamentally different and investigates possible explanations for any dissimilarities. Bidders often acquire relatively smaller distressed targets in domestic and related industries and have a higher initial target stake and more financial flexibility, thereby minimizing risk exposure. Controlling for several characteristics of bidder investment behaviour in both types of deals, however, we find that the increase in bidder default risk is substantially larger when acquiring distressed firms.     

Asset prices in affine real business cycle models

I describe a tractable way to study macroeconomic quantities and asset prices in a large class of dynamic stochastic general equilibrium models. The proposed approximate solution is analytical, log-linear, and adjusted for risk. Therefore, it is well suited to investigate economic mechanisms, describe the time series properties or estimate the model, and deal with stochastic volatility. I explain the pitfalls encountered by previous attempts to use simple approximation techniques, in particular with models featuring recursive preferences. Finally, I show the theoretical relationship between my solution and higher-order perturbation methods.     

Impact of quality on estimations of hotel efficiency

This paper provides empirical evidence on the impact of output quality on hotel efficiency. It demonstrates how ignoring quality can lead to erroneous efficiency estimates. The study uses stochastic frontier methodology and the model proposed by Battese and Coelli (1995) to estimate the efficiency of 838 hotels in Spain in the period 2009–2013. The key advantage of this methodology is its ability to estimate efficiency and identify factors that explain differences in efficiency in a single-stage sampling procedure. Estimates of cost efficiency, which only include the costs of higher quality, are compared to those of profit efficiency, which not only consider costs but also the revenues generated by higher quality. Results show that quality has a negative impact on cost efficiency and a positive one on profit efficiency. Thus, hotel management should implement strategies that increase the value of their services as a way to achieve sustainable competitive advantages.     

Emerging Bond Market Volatility and Country Spreads

Using JPMorgan's emerging market bond index, this paper analyzes how increases in country credit spreads can persist in emerging bond markets. The results of T-GARCH regressions show that, during financial crisis periods, emerging countries' credit spreads may increase persistently as a result of interaction between changes in spreads and volatilities, making emerging bond markets more turbulent. The results suggest that emerging countries should endeavor to develop a stabilization mechanism by enhancing information efficiency in bond markets. In particular, because Asian countries have experienced persistent, overreactive volatility, this paper implies that Asian countries should work together more closely during financial crisis periods.     

The role of stochastic volatility and return jumps: reproducing volatility and higher moments in the KOSPI 200 returns dynamics

This paper investigates the role of stochastic volatility and return jumps in reproducing the volatility dynamics and the shape characteristics of the Korean Composite Stock Price Index (KOSPI) 200 returns distribution. Using efficient method of moments and reprojection analysis, we find that stochastic volatility models, both with and without return jumps, capture return dynamics surprisingly well. The stochastic volatility model without return jumps, however, cannot fully reproduce the conditional kurtosis implied by the data. Return jumps successfully complement this gap. We also find that return jumps are essential in capturing the volatility smirk effects observed in short-term options.

Volatility Relationship between Crude Oil and Petroleum Products

This paper utilizes calculated historical volatility and GARCH models to compare the historical price volatility behavior of crude oil, motor gasoline and heating oil in U.S. markets since 1990. We incorporate a shift variable in the GARCH/TARCH models to capture the response of price volatility to a change in OPEC’s pricing behavior. This study has three major conclusions. First, there was an increase in volatility as a result of a structural shift to higher crude oil prices after April 1999. Second, volatility shocks from current news are not important since GARCH effects dominate ARCH effects in the variance equation. Third, persistence of volatility in all commodity markets is quite transitory, with half-lives normally being a few weeks.