News shocks and asset price volatility in general equilibrium

We study equity price volatility in general equilibrium with news shocks about future productivity and monetary policy. As West (1988) shows, in a partial equilibrium present discounted value model, news about the future cash flow reduces asset price volatility. We show that introducing news shocks in a canonical dynamic stochastic general equilibrium model may not reduce asset price volatility under plausible parameter assumptions. This is because, in general equilibrium, the asset cash flow itself may be affected by the introduction of news shocks. In addition, we show that neglecting to account for policy news shocks (e.g., policy announcements) can potentially bias empirical estimates of the impact of monetary policy shocks on asset prices.     

Understanding the conditional out-of-sample predictive impact of the price of crude oil on aggregate equity return volatility

Using monthly data from 1973 through 2020, we explore whether it is possible to improve the accuracy of one-month ahead log-aggregate equity return realized volatility point forecasts by conditioning on various nonlinear crude oil price measures widely relied on in the literature. When evaluating the evidence of unconditional relative equal predictive ability as specified in Diebold and Mariano (1995), we observe that similar to well-known economic variables, such as the dividend yield, the default yield spread and the rate of inflation, we rarely observe evidence of statistical gains in relative point forecast accuracy in favor of the crude oil price-based models. However, when evaluating the evidence of conditionalrelative equal predictive ability as specified in Giacomini and White (2006), we observe that contrary to well-known economic predictors, certain nonlinear crude oil price variables, such as the one-year net crude oil price increase suggested in Hamilton (1996) offer sizable point forecast accuracy gains relative to the benchmark. These statistical gains can also be translated into economic gains.     

Asset price volatility and banks

This paper examines the operation of Diamond–Dybvig banks when depositors have access to the asset market. Previous studies have shown that banks are redundant in this environment since it is impossible to prevent the strategic withdrawals. This paper shows that the strategic withdrawals can be prevented if the market risk, due to asset price volatility, is considered. Banks provide deterministic returns to the depositors since the aggregate withdrawals are predictable, and therefore, banks can choose the portfolio such that no asset liquidation is involved. However, an individual consumer with stochastic liquidity need is vulnerable to the price volatility if he holds the asset directly. Therefore, banks improve the consumers’ welfare by providing the insurance against not only the liquidity shock but also the market risk. Banks are not redundant.     

Day trading and stock price volatility

When an investor buys and sells the same stock on the same day, he is said to have made a day trade. Using the trading records of Finnish traders, this paper examines whether day trading is related to volatility of stock prices. I find a strong positive time-series relation between the number of day trades by individual investors and intraday volatility among heavily day traded stocks. This effect is robust after controlling for a previously documented volume–volatility relation. The result suggests that the joint hypothesis of price pressure and volatility induced day trading dominates the liquidity effects of day trading.     

Hedge fund attributes and volatility around equity offerings

The purpose of this paper is to explore the potential influence of hedge fund attributes on idiosyncratic volatility (IVOL) in excess stock returns for 705 firms undergoing seasoned equity offerings (SEOs). This investigation is important due to the pervasive concerns about the impact of hedge funds on volatility. We choose a time frame from 1999 to 2005 covering two periods that could impact IVOL differently: the internet-technology bubble period and the post-bubble period. Our time frame includes the breakpoint year of 2000 that marks a downward trend in IVOL from 2000 to 2008. We explore this IVOL drop for a sample of SEOs and find that the decline in IVOL for this sample can be primarily related to the rapid increase in the hedge fund industry size and to the increasing use of leverage by hedge funds. This trend is also related to the increasing use of a relative value (arbitrage) strategy and the decreasing use of an event-driven strategy. IVOL for our sample also appears to decrease with greater hedge fund performance except when hedge funds are riding the pre-SEO stock price run-up. The downward shift in IVOL for our SEO sample around their offering dates is better explained by hedge fund attributes than by non-hedge fund attributes. In conclusion, our findings suggest that the rapid increase in the hedge fund industry offer an explanation for the mysterious decline in IVOL that has been witnessed since 2000.     

The «control quota» component in the price of shares

This work has been sponsored by the Journées Internationale de l'Association Francaise de Finance (Strasbourg, Université L. Pasteur, June 12–14, 1980). The paper deals with the problem of a shareholder, that wishes to sell a portion of his quota and vants that the weakining of his position is adequately compensated.     

Time-varying price shock transmission and volatility spillover in foreign exchange,bond, equity,and commodity markets: Evidence from the United States

We study the cross-market financial shocks transmission mechanism on the foreign exchange, equity, bond, and commodity markets in the United States using a time-varying structural vector autoregression model with stochastic volatility (TV-SVAR-SV). The price shocks are absorbed immediately in two or three days, suggesting that all markets are quite efficient. A slight mean reversion and an overshooting behavior are observed. Considering the volatility spillover effect, we highlight two properties of volatility shocks. First, the effects of the volatility shocks are released gradually. Reaching peak volatility spillover levels would require five to ten days. Second, the dynamics of volatility spillovers vary tremendously over time. Different types of markets respond to certain, but not all, extreme events. Our findings suggest the need to conduct investor monitoring of current events instead of using technical analysis based on historical data. Investors should also diversify their portfolios using assets that can respond to different and extreme shocks.     

Utility perturbations and the equilibrium price set

For pure exchange economies in which agents are described by a compact smooth manifold of smooth strictly monotonic and strictly concave utilities, it is shown that, at least generically, the equilibrium price set is a smooth manifold of the same dimension. Given any smooth selection from the equilibrium price manifold and any sufficiently close smooth function, the function is a selection from the equilibrium price correspondence for some manifold of economies close to the original one. In particular, the set of equilibria corresponding to any open neighborhood of an economy contains an open subset of the price simplex.     

Co-movement in the price of risk of aggregate equity markets

This paper examines the issue of co-movement in G7 equity markets. Earlier research in this area has focussed on the first or the second moment of the return process from different markets. The approach in this paper takes the analysis to a finer level to examine the co-movement between these markets. The price of risk from the equity market is inferred in an unobserved component modelling framework to study the co-movement using a non-parametric measure of association, concordance. The findings of this paper also indicate that the price of risk is more important than volatility in explaining movements in excess return.     

Estimating stochastic volatility: the rough side to equity returns

Decisions in Economics and Finance - This paper evaluates the forecasting performance of a Brownian semi-stationary (BSS) process in modelling the volatility of 21 equity indices. We implement a...     

House price structure and market equilibrium

After the accumulation of empirical research on house price structure that has taken place over the last decade, a theoretical framework to explain observed differences in house price structure across markets is not yet well developed. To explain house price structure a model of market equilibrium has to be formulated that allows the derivation of comparative statics results. This paper presents such an analysis in the context of momentary equilibrium, with continuous spectrums of household types and housing types.     

Shock and volatility spillovers among equity sectors of the Gulf Arab stock markets

The major objectives of this study are twofold. The first objective is to examine the dynamic volatility and volatility transmission in a multivariate setting using the VAR(1)–GARCH(1,1) model for three major sectors, namely, Service, Banking and Industrial/or Insurance, in four Gulf Cooperation Council (GCC)’s economies (Kuwait, Qatar, Saudi Arabia and UAE). The second is to use the models’ results to compute and analyze the optimal weights and hedge ratios for two-sector portfolio holdings, comprised of the three sectors for each country. The results suggest that past own volatilities matter more than past shocks and there are moderate volatility spillovers between the sectors within the individual countries, with the exception of Qatar. Moreover, the values for ratios of hedging long positions with short positions in the GCC sectors are smaller than those for the US equity sectors. The optimal portfolio weights favor the Banking/financial sector for Qatar, Saudi Arabia and UAE and the Industrial sector for Kuwait.     

Modeling common volatility characteristics and dynamic risk premia in European equity markets

The paper applies a Factor-GARCH model to evaluate the impact of the market portfolio, as a single common dynamic risk factor, on conditional volatility and risk premia for the returns on size-based equity portfolios of three major European markets; France, Germany and the United Kingdom. The results show that for the size-based portfolios the factor loading for the dynamic market factor is significant and positive but the association between the risk premia and the conditional market volatility is weak. However, the dynamic market factor is shown to explain common characteristics in the conditional variance such as asymmetry and persistence. This finding is consistent across markets and portfolio sizes.     

Underpricing,partial price adjustments,and equity carve-outs

We examine the extent to which carve-out parent announcement and ex-date subsidiary initial market-adjusted returns reflect public information for 260 equity carve-outs and their parents for the period 1990–2012. We evaluate four hypotheses related to carve-outs and their parents: partial price adjustment, prospect theory, managerial discretionary, and leaning against the wind. To test these hypotheses we use four primary variables: the percentage of the subsidiary retained by the parent, filing range adjustments, the percentage of the offering used to retire subsidiary debt, and the CBOE Volatility Index (VIX) to predict initial returns. We show that 29 %–98 % of the variation i n market-adjusted equity carve-out returns can be predicted using public information known prior to the offer date. In addition, consistent with prospect theory, we show that the increase in share value for shares retained by parent companies (overhang) offsets the level of underpricing.     

Intra-day futures price volatility: Information effects and variance persistence

This paper was prepared for presentation at the Conference on Nonlinear Dynamics and Econometrics, UCLA, 5–6 April, 1991, under the title ‘Information and chronological time effects in intra-day futures price volatility.’ The authors are grateful to participants of the Nonlinear Dynamics Conference and to Leigh Riddick, George Wang, and two anonymous referees for helpful comments. The BDS program was provided by W. D. Dechert and the BISPEC program was provided by Doug Patterson. The views stated within are those of the authors, and do not necessarily reflect those of the Commodity Futures Trading Commission or its staff. This paper examines the role of the rate of information arrival proxy variables, as they relate to persistence in the variance structure of minute-by-minute S&P 500 Index Futures returns series. The role of contract volume, floor transactions, the number of price changes, executed order imbalance, and an information composite in reducing variance persistence is examined. All proxy variables are found to explain a significant amount of returns variance. While the characteristics of returns data vary daily, some evidence of remaining variance persistence is found, regardless of the definition of the rate of information arrival variable. Our results suggest that utilization of a pure ARCH-type model for highfrequency returns data implies a mis-specification.     

Oil price shocks and economic growth: The volatility link

This paper shows that oil shocks impact economic growth primarily through the conditional variance of growth. Our comparison of models focuses on density forecasts. Over a range of dynamic models, oil shock measures and data, we find a robust link between oil shocks and the volatility of economic growth. We then develop a new measure of oil shocks and show that it is superior to existing measures; it indicates that the conditional variance of growth increases in response to an indicator of the local maximum oil price exceedance. The empirical results uncover a large pronounced asymmetric response of the growth volatility to oil price changes. The uncertainty about future growth is considerably lower than with a benchmark AR(1) model when no oil shocks are present.     

房价波动、信贷扩张与金融稳定

在美国次贷危机爆发、国内房地产价格居高不下的背景下,如何实现房地产业健康发展,经济持续增长及金融稳定,是政策当局面临的重大现实问题。本文围绕着房地产价格波动、信贷扩张和金融不稳定之间的互动机理的研究进展,梳理这一领域的前沿研究成果,并对理论发展脉络进行述评,最后提出了这一领域值得继续研究的若干问题。     

Islamic equity market integration and volatility spillover between emerging and US stock markets

The purpose of this paper is to study the conditional correlations across the US market and a sample of five Islamic emerging markets, namely Turkey, Indonesia, Pakistan, Qatar, and Malaysia. The empirical design uses MSCI (Morgan Stanley Capital International) Islamic equity index since it applies stringent restrictions to include companies. Indeed, two main restrictions must be met: (i) the business activity must be compliant with Shari’ah (i.e., Islamic law) guidelines and (ii) interest-bearing investments and leverage ratios should not exceed upper limits. Three models are used: multivariate GARCH BEKK, CCC, and DCC. The estimation results of the three models show that the US and Islamic emerging equity markets are weakly correlated over time. No sheer evidence supports that the US market spills over into the Islamic emerging equity markets. Besides interpreting the results in terms of weak market integration, the peculiar specificities of the Islamic finance industry and the admittance conditions to the MSCI Islamic equity index contribute to explaining them. Indeed, Islamic finance bans interest-bearing investments and imposes some rules, such as asset-backing, which has sizeable impacts on volatility spillover and shocks transmissions, alongside with the close linkage between real and financial sectors. These findings suggest that investors should take caution when investing in the Islamic emerging equity markets and diversifying their portfolios in order to minimize risk.