News and volatility of food prices

Financial markets exhibit an asymmetric news effect with unexpected low prices generating more price volatility than ‘news’ of high prices. The present study examines US food markets for such asymmetric news effects. Analysis of 25 years of monthly data for 45 retail food items shows that price news destabilizes about a third of the markets with unexpected price increases more destabilizing.     

A range-based volatility approach to measuring volatility contagion in securitized real estate markets

We use a newly-developed time-varying range-based volatility model to capture the dynamics of securitized real estate volatility. The novelty of the model is the use of a smooth transition copula function to capture the nonlinear comovements between major REIT markets in the presence of structural changes. We then investigate the impact of extreme events on the volatility dependence in a broad set of 13 developed countries over the period from 1990 to 2012. We find that information transmission through the volatility channel can exhibit either bi- or uni-directional causality. In addition, financial contagion following the subprime crisis is found between the U.S. and Australia.     

Fundamentals,beliefs, and financial contagion

We study contagion in a model in which financial crises can occur due to both weak fundamentals and adverse self-fulfilling expectations. Contagion emerges only if a crisis in one country leads international investors to rationally update beliefs about fundamentals in other countries. But purely expectational crises may be contagious, as investors may infer that fundamentals are weak. Hence, the structure of information is crucial. The analysis delivers useful lessons for assessing which countries are more vulnerable to contagion, which types of crises are more infectious, and whether increased transparency ameliorates contagion effects.     

Consumption volatility and financial openness

Economic theory predicts that the integration of financial markets lowers the volatility of consumption. In this article, we study long-term trends in the consumption volatility of the G7 countries. Using different measures of financial openness, we find evidence that greater financial openness has been associated with lower consumption volatility. However, volatility of consumption relative to output has not declined.     

On volatility of prices in arbitrage-free markets

Summary This paper addresses the question of what one can learn about the dynamics of an economy from observing cross-sectional and time series variations in the volatility of prices in an arbitrage-free securities market. We introduce the notions of stochastic derivatives, marginal risk-adjusted growth rates, and marginal risk exposure in a single factor economy. We show that future variations in the state of the economy are due to two independent sources: the marginal risk-adjusted growth rate and the changes in marginal risk exposure. Using the martingale characterization of arbitrage-free prices, together with a martingale representation formula due to Haussmann (1978), we show that cross sectional variations in price volatility of assets with linear payoffs can be used to identify the sum of these two sources. Measurements of price volatility for assets with linear payoffs are not sufficient for complete identification of the independent determinants of possible future variations in the economy. However, using the volatility of prices of options on the state variable, we can identify the stochastic derivative and hence compute the price volatility of any path independent contingent claim.I am grateful to David Kreps and Kenneth Singleton for helpful conversations and to an anonymous referee for useful remarks. Financial support from Stanford Graduate School of Business Faculty Fellowship is gratefully acknowledged.     

Information-based contagion and the implications for financial fragility

This paper explores a global game model of information-based financial contagion. By revealing information on a common fundamental factor and thereby affecting the behavior of creditors, the failure of a single firm can trigger the failure of another firm. The model provides a unique equilibrium framework to assess the consequences of contagion and yields some hitherto unnoticed insights. While contagion increases the correlation among the financial failures of different firms, its impact on the incidence of failure is ambiguous. I consider an analytically tractable version of the model in which the effect on the ex ante failure probabilities is exactly zero. Moreover, the impact of contagion increases with the relevance of a common underlying fundamental, but is limited to firms near the brink of success or failure.     

International financial remoteness and macroeconomic volatility

This paper shows that proximity to major international financial centers seems to reduce business cycle volatility. In particular, we show that countries that are farther from major locations of international financial activity systematically experience more volatile growth rates in both output and consumption, even after accounting for political institutions, trade, and other controls. Our results are relatively robust in the sense that more financially remote countries are more volatile, though the results are not always statistically significant. The comparative strength of this finding is in contrast to the more ambiguous evidence found in the literature.     

Excess price volatility and financial innovation

Summary. In a three-period finite exchange economy with incomplete financial markets and retrading, we study the effects of the degree of incompleteness and of changes in the financial structure on asset price volatility. In what are essentially no aggregate risk economies, asset price volatility is a sunspot-like phenomenon. If markets are completed by financial innovation, asset price volatility reduction is generic. With aggregate risk, changes in the financial structure affect asset price volatility through a pecuniary externality. Financial innovation which decreases equilibrium price volatility can be crafted under conditions of sufficient market incompleteness. Numerical examples illustrate the role of risk aversion for volatility changes and show that, with or without aggregate risk, reducing the degree of incompleteness per se is not necessarily associated with a volatility reduction.Received: 10 October 2003, Revised: 3 June 2004, JEL Classification Numbers: C60, D52, G10. Correspondence to: Alessandro CitannaThis research project stems from and expands previous work circulated as Financial innovation and price volatility, GSIA Working Paper #1996-E30 and Controlling price volatility through financial innovation, Kellogg Working Paper #2002-1338. We thank Herakles Polemarchakis and Chris Telmer for their comments. We are grateful to an anonymous referee for careful reviews of earlier versions. The first author thanks also GSIA - Carnegie Mellon University for the kind hospitality during Fall 2002, when part of this project was completed.     

Jumps and volatility dynamics in agricultural commodity spot prices

The spot commodities market exhibits both extreme volatility and price spikes, which lead to heavy-tailed distributions of price change and autocorrelation. This article uses various Lévy jump models to capture these features in a panel of agricultural commodities observed between January 1990 and February 2014. The results show that Levy jump models outperform the continuous Gaussian model. Our results prove that assuming a constant volatility or even a deterministic volatility and drift structure of agricultural commodity spot prices is not realistic and is less efficient than the stochastic assumption. The findings demonstrate an interesting correlation between volatility and jumps for a given commodity i, but no relationship between the volatility of commodity i and the probability of jumps of commodity j.     

Modeling,analysis and mitigation of contagion in financial systems

Recent financial turmoil (e.g., the 2008–2009 global financial crisis) has resulted in financial contagion-induced instability becoming one of the major concerns in the fields of economics and finance. In this paper, we extend the network analysis of financial contagion from three perspectives. First, given that cross-holding of claims and obligations among financial institutions can be viewed as input-output linkages, we model the financial system and the contagion mechanism by introducing the classic Leontief input–output framework. Second, based on this modeling process, we propose a simple contagion algorithm to study how financial system heterogeneity influences its stability. Third, to mitigate financial contagion, we propose several concrete intervention policies based on two widely used prudential approaches—forced mergers and capital injections. The performance of these intervention policies is then evaluated by comprehensive numerical experiments. Our study has significant implications for financial regulation and supervision.     

The impact of institutional volatility on financial volatility in transition economies

What have been the determinants of financial volatility in the transition countries of Central and Eastern Europe and the former Soviet Union? This paper posits that institutional changes, and in particular the volatility of crucial institutions such as property rights, have been the major causes of financial volatility in transition. Building a unique monthly database of 20 transition economies from 1991 to 2017, this paper applies the GARCH family of models to examine financial volatility as a function of institutional volatility. The results show that more advanced institutions help to dampen financial sector volatility, while institutional volatility feeds through directly to financial sector volatility in transition. Democratic changes in particular engender much higher levels of volatility, while property rights are sensitive to the metric used for their measurement.     

Monetary and fiscal coordination in preventing bank failures and financial contagion

This paper uses a theoretical model to analyze the optimal combination of monetary response (lowering of interest rates) and fiscal bailouts in preventing bank failures and financial contagion. I show that the optimal way of rescuing failing banks is to combine the two. This is because lower interest rates reduce the size of the bailout required to rescue failing banks as they reduce the cost for banks to raise and retain deposits. The main result of the paper is that banks are willing to monitor their investments more closely when they anticipate a monetary response in addition to bailouts in case of a banking crisis. Additionally, capital requirements such as the Basel Accords do not always incentivize banks to monitor their investments if there is a potential contagion from unhealthy to healthy banks.     

Costly financial intermediation and excess consumption volatility

This paper documents the cyclical properties of financial intermediation costs and uses their dynamics to explain excess consumption volatility (ECV) differences across countries in a dynamic stochastic general equilibrium framework with housing market. I find that financial development levels have a limited role in explaining ECVs. Instead, the volatility of financial sectors plays the determinative role. Consistent with the data, the model finds higher ECVs in emerging countries. The paper also shows that if the US had the same intermediation cost structure as Turkey, deteriorations in the production and consumption following a financial shock would increase threefold.     

The volatility of prices in the English and Welsh electricity pool

The volatility of spot prices has been a notable feature of the English and Welsh Electricity Pool since its formation in 1990. This study investigates the possibility that the volatility of spot prices is strongly affected by the functioning of the contract market for electricity. This paper suggest that generators with market power may have an incentive to create volatility in the spot market in order to benefit from higher risk premia in the contract market. A simple theoretical model is used to illustrate this argument. Nonparametric techniques are used to test for changes in volatility after the expiry of the coal contracts in 1993 and during the price cap of 1994–1996. Strongly significant increases in volatility are found in the latter period.     

Inflation volatility and stock prices: Evidence from ARCH effects

This paper examines the impact of inflation uncertainty on stock prices in developed as well as in emerging capital markets over the period 1980:1–93:12 via an Autoregressive Conditional Heteroskedasticity (ARCH) model for inflation. The results seem to support the presence of a negative association between inflation uncertainty and stock prices.The authors would like to thank, without implicating, Gikas Hardouvelis, Costas Karfakis, and especially the discussant of the conference session held in Williasmsburg, Robert C. Winder, for helpful comments and suggestions.     

Financial contagion and volatility spillover: An exploration into Indian commodity derivative market

This study measures the extent of financial contagion in the Indian asset markets. In specific it shows the contagion in Indian commodity derivative market vis-à-vis bond, foreign exchange, gold, and stock markets. Subsequently, directional volatility spillover among these asset markets, have been examined. Applying DCC-MGARCH method on daily return of commodity future price index and other asset markets for the period 2006–16, time varying correlation between commodity and other assets are estimated. The degree of financial contagion in commodity derivative market is found to be the largest with stock market and least with the gold market. A generalized VAR based volatility spillover estimation shows that commodity and stock markets are net transmitters of volatility while bond, foreign exchange and gold markets are the net receivers of volatility. Volatility is transmitted to commodity market only from the stock market. Such volatility spillover is found to have time varying nature, showing higher volatility spillover during the Global Financial Crisis and during the period of large rupee depreciation in 2013–14. These results have significant implication for optimal portfolio choice.     

No-arbitrage, state prices and trade in thin financial markets

We examine how non-competitiveness in financial markets affects the choice of asset portfolios and the determination of equilibrium prices. In our model, potential arbitrage is conducted by a few highly specialized institutional investors who recognize and estimate the impact of their trades on financial prices. We apply a model of economic equilibrium, based on Weretka (, 2007a), in which price effects are determined endogenously as part of the equilibrium concept. For the case in which markets allow for perfect insurance, we argue that the principle of no-arbitrage asset pricing is consistent with non-competitive behavior of the arbitragers and extend the fundamental theorem of asset pricing to the non-competitive setting.     

Asset prices and economic fluctuations: The implications of stochastic volatility

This paper investigates whether the multi-factor stochastic volatility of stock returns is related to economic fluctuations and affects asset prices. We address these issues in a dynamic Fama-French three-factor volatility model framework. Consistent with the ICAPM with stochastic volatility (Campbell et al., 2017), we find that the conditional volatility of the size and value factors is significantly related to economic uncertainty. These volatilities are also significant pricing factors. The out-of-sample forecasting analysis further reveals that the conditional volatility can predict stock returns and deliver economic gain in asset allocation. Our analysis sharpens the understanding on the link between the stock market and economic fundamentals.     

Return and volatility transmission between oil prices and oil-exporting and oil-importing countries

This paper provides further evidence of the comovements and dynamic volatility spillovers between stock markets and oil prices for a sample of five oil-importing countries (USA, Italy, Germany, Netherland and France) and four oil-exporting countries (United Arab Emirates, Kuwait, Saudi Arabia and Venezuela). We make use of a multivariate GJR-DCC-GARCH approach developed by Glosten et al. (1993). The results show that: i) dynamic correlations do not differ for oil-importing and oil-exporting economies; ii) cross-market comovements as measured by conditional correlation coefficients increase positively in response to significant aggregate demand (precautionary demand) and oil price shocks due to global business cycle fluctuations or world turmoil; iii) oil prices exhibit positive correlation with stock markets; and iv) oil assets are not a good ‘safe haven’ for protection against stock market losses during periods of turmoil.