Asymmetric Conditional Volatility in International Stock Markets

Recent studies show that a negative shock in stock prices will generate more volatility than a positive shock of similar magnitude. The aim of this paper is to appraise the hypothesis under which the conditional mean and the conditional variance of stock returns are asymmetric functions of past information. We compare the results for the Portuguese Stock Market Index PSI 20 with six other Stock Market Indices, namely the S&P 500, FTSE100, DAX 30, CAC 40, ASE 20, and IBEX 35. In order to assess asymmetric volatility we use autoregressive conditional heteroskedasticity specifications known as TARCH and EGARCH. We also test for asymmetry after controlling for the effect of macroeconomic factors on stock market returns using TAR and M-TAR specifications within a VAR framework. Our results show that the conditional variance is an asymmetric function of past innovations raising proportionately more during market declines, a phenomenon known as the leverage effect. However, when we control for the effect of changes in macroeconomic variables, we find no significant evidence of asymmetric behaviour of the stock market returns. There are some signs that the Portuguese Stock Market tends to show somewhat less market efficiency than other markets since the effect of the shocks appear to take a longer time to dissipate.Comment: 11 pages, 3 figure

Do daily retail gasoline prices adjust asymmetrically?

This paper analyzes adjustments in the Dutch retail gasoline prices. We estimate an error correction model on changes in the daily retail price for gasoline (taxes excluded) for the period 1996-2004 taking care of volatility clustering by estimating an EGARCH model. It turns out the volatility process is asymmetrical: an unexpected increase in the producer price has a larger effect on the variance of the producer price than an unexpected decrease. We do not find evidence for amount asymmetry, either for the long run or for the short run. However, there is a faster reaction to upward changes in spot prices than to downward changes in spot prices. This implies timing or pattern asymmetry. This asymmetry starts three days after the change in the spot price and lasts for four days.

On Volatility Spillovers and Dominant Effects in East Asian: Before and After the 911

The present paper examines the dynamic effects of volatility spillovers and dominant role (the second-moment) of the US, Japan and Hong Kong in the East Asian equity markets. To evaluate the recent September 11 (911) impact, two sub periods – before and after the tragedy, are being considered based on daily market returns. The upshots of our findings are five-fold. First, for all markets the constant risk components, as well as the ARCH and GARCH effects are significantly detected, implying the persistency of volatility in East Asian equity markets. Nevertheless, not all indexes show asymmetrical news effects. Though all indexes show leverage effects, they are significant only for certain countries including the US and Japan, which is consistent with empirical literature. Second, the volatilities of these equity markets are bounded in common stochastic trends, at least in the long run. Third, the Hong Kong long run coefficients are more significant than that of US or Japan before the 911 calamity. Nonetheless, there is sufficient evidence showing that the US spillovers were transmitted via Hong Kong. After the 911, the Hong Kong’s spillovers trim down while Japanese influence enhance as in Malaysia, Philippines, Thailand and Singapore. Taken as a whole (1998-2002), Japanese spillovers are relatively small and nonsignificant in some East Asian equity markets. Fourth, the ECT coefficients are significant but small (except for Hong Kong). The East Asian equity markets are thereby endogenously determined and the volatility adjustments to the long run equilibrium are slow, once being shocked. The ECT coefficients slightly improved after 911. Fifth, volatilities in the East Asian equity markets are attributed mainly to the shocks of local and regional factors rather than the world factor. In a nutshell, the volatility spillovers and the Hong Kong- and US-dominant effects have been confirmed. Hitherto, the 911 impact is relatively small and somewhat inconclusive.East Asian; Spillover Effect; Dominant Effect; EGARCH-M; ARDL Bounds Testing Approach

OVERCONFIDENCE BIAS: EXPLANATION OF MARKET ANOMALIES FRENCH MARKET CASE

In this study, we test whether the overconfidence bias explains several stylized market anomalous, including a short-term continuation (momentum), a long-term reversal in stock returns, high levels of trading volume and excessive volatility. Using data of French stocks market, we find empirical evidence in support of overconfidence hypothesis. First, based on a restricted VAR framework, we show that overconfident investors overreact to private information and underreact to public information. Second, by performing Granger-causality tests of stock returns and trading volume, we find that overconfident investors trade more aggressively in periods subsequent to market gains. Third, based on a two GARCH specifications, we show that self attribution bias, conditioned by right forecasts, increases investors overconfidence and trading volume. Fourth, the analysis of the relation between return volatility and trading volume shows that the excessive trading of overconfident investors makes a contribution to the observed excessive volatility.Overconfidence, Behavioural finance, Over (under) reaction, Trading volume, Volatility

Hedge ratio estimation and hedging effectiveness: the case of the S&P 500 stock index futures contract

This paper investigates the hedging effectiveness of the Standard & Poor’s (S&P) 500 stock index futures contract using weekly settlement prices for the period July 3rd, 1992 to June 30th, 2002. Particularly, it focuses on three areas of interest: the determination of the appropriate model for estimating a hedge ratio that minimizes the variance of returns; the hedging effectiveness and the stability of optimal hedge ratios through time; an in-sample forecasting analysis in order to examine the hedging performance of different econometric methods. The hedging performance of this contract is examined considering alternative methods, both constant and time-varying, for computing more effective hedge ratios. The results suggest the optimal hedge ratio that incorporates nonstationarity, long run equilibrium relationship and short run dynamics is reliable and useful for hedgers. Comparisons of the hedging effectiveness and in-sample hedging performance of each model imply that the error correction model (ECM) is superior to the other models employed in terms of risk reduction. Finally, the results for testing the stability of the optimal hedge ratio obtained from the ECM suggest that it remains stable over time.Hedging effectiveness; minimum variance hedge ratio (MVHR); hedging models; Standard & Poor’s 500 stock index futures

Measuring Asymmetric Price and Volatility Spillover in the South African Broiler Market

This study investigated asymmetric price and volatility spillover in the broiler value chain. The data used for the study includes farm and retail broiler monthly prices dated from January 2000 to August 2008. The threshold autoregressive (TAR) and momentum threshold autoregressive (M-TAR) models were used to investigate asymmetry in farm-retail market prices, whereas the exponential generalised autoregressive conditional heteroskedasticity (EGARCH) model was used to measure price volatility and the volatility spillover effect between retail and farm prices. Price asymmetry was found between farm and retail prices with retail prices responding more rapidly (with a lag) to negative than positive changes in farm price. The results indicate that within one month, the retail prices adjust so as to eliminate approximate 2.8 % of a unit-negative change in the deviation from the equilibrium relationship caused by changes in producer prices. This implies that the retailers must increase their marketing margin by 2.8% in order to response completely to a unit-negative change in farm prices. The results from the volatility model show that the magnitude of volatility in the retail and farm prices for the periods 2000M1 to 2008M8 is 1.8% and 2.8%, respectively, with significant asymmetric volatility spillover from the farm to retail level of the value chain. This implies that the response to positive shock at any production and marketing stage differs from the response to a negative shock.Livestock Production/Industries,

Volatility Forecasting Models and Market Co-Integration: A Study on South-East Asian Markets

Volatility forecasting is an imperative research field in financial markets and crucial component in most financial decisions. Nevertheless, which model should be used to assess volatility remains a complex issue as different volatility models result in different volatility approximations. The concern becomes more complicated when one tries to use the forecasting for asset distribution and risk management purposes in the linked regional markets. This paper aims at observing the effectiveness of the contending models of statistical and econometric volatility forecasting in the three South-east Asian prominent capital markets, i.e. STI, KLSE, and JKSE. In this paper, we evaluate eleven different models based on two classes of evaluation measures, i.e. symmetric and asymmetric error statistics, following Kumar’s (2006) framework. We employ 10-year data as in sample and 6-month data as out of sample to construct and test the models, consecutively. The resulting superior methods, which are selected based on the out of sample forecasts and some evaluation measures in the respective markets, are then used to assess the markets cointegration. We find that the best volatility forecasting models for JKSE, KLSE, and STI are GARCH (2,1), GARCH(3,1), and GARCH (1,1), respectively. We also find that international portfolio investors cannot benefit from diversification among these three equity markets as they are cointegrated.Volatility Forecasting, Capital Market, Risk Management

European gasoline markets: price transmission asymmetries in mean and variance

The main objective of this paper is to analyse the different sources of asymmetric price transmissions in the fuel market for France, Germany and Spain. During the last decades,the EU has carried out several common energy policies to achieve more efficient and competitive markets. However, given the specific characteristics of each country, the question we want to address is if fuel prices across EU members behave differently in response to different market structures. Oil operators have been targeted by competition authorities for conducting non-competitive practices. To figure out whether the common complaint that gasoline prices adjust differently to positive or negative input price changes, dynamic asymmetric models for the mean and variance are developed for each country. Several asymmetric specifications for the mean and variance are considered and the best specification combines double threshold error correction models (DT-ECM) for the mean with asymmetric EGARCH plus dummy variables for the conditional variance. We show that French gasoline prices behave more competitively, adjusting quicker to the long-run equilibrium and with higher price volatility. This outcome is consistent with the strong presence of hypermarkets following low-cost pricing strategies in France.Alvaro Escribano is grateful for the funding provided by Ministerio de Economía y Competitividad, Funder Id: 10.13039/501100003329, Grant Number: ECO2016-00105-001, MDM 2014- 0431 and Agencia Estatal de Investigación: 2019/00419/001. Comunidad de Madrid, Grant Number: MadEco-CM S2015/HUM-3444

Can a Lucas model with habit generate realistic conditional volatility in exchange rate returns?

In this paper, we attempt to give a theoretical underpinning to the well established empirical stylized fact that asset returns in general and the spot FOREX returns in particular display predictable volatility characteristics. Adopting Moore and Roche.s habit persistence version of Lucas model we .nd that both the innovation in the spot FOREX return and the FOREX return itself follow "ARCH" style processes. Using the impulse response functions (IRFs) we show that the baseline simulated FOREX series has "ARCH" properties in the quarterly frequency that match well the "ARCH" properties of the empirical monthly estimations in that when we scale the x-axis to synchronize the monthly and quarterly responses we find similar impulse responses to one unit shock in variance. The IRFs for the ARCH processes we estimate "look the same" with an approximately monotonic decreasing fashion. The Lucas two-country monetary model with habit can generate realistic conditional volatility in spot FOREX return.: asset pricing, CCAPM, conditional volatility, GARCH models, foreign exchange, habit persistence

Modelling Long Memory Volatility in Agricultural Commodity Futures Returns

This paper estimates the long memory volatility model for 16 agricultural commodity futures returns from different futures markets, namely corn, oats, soybeans, soybean meal, soybean oil, wheat, live cattle, cattle feeder, pork, cocoa, coffee, cotton, orange juice, Kansas City wheat, rubber, and palm oil. The class of fractional GARCH models, namely the FIGARCH model of Baillie et al. (1996), FIEGACH model of Bollerslev and Mikkelsen (1996), and FIAPARCH model of Tse (1998), are modelled and compared with the GARCH model of Bollerslev (1986), EGARCH model of Nelson (1991), and APARCH model of Ding et al. (1993). The estimated d parameters, indicating long-term dependence, suggest that fractional integration is found in most of agricultural commodity futures returns series. In addition, the FIGARCH (1,d,1) and FIEGARCH(1,d,1) models are found to outperform their GARCH(1,1) and EGARCH(1,1) counterparts.fractional integration;conditional volatility;long memory;agricultural commodity futures;asymmetric