Search results for "Stock return"

showing 10 items of 12 documents

Stock Volatility Predictability in Bull and Bear Markets

2020

Recent literature on stock return predictability suggests that it varies substantially across economic states being strongest during bad economic times. In line with this evidence, we document that stock volatility predictability is also state dependent. In particular, using a large data set of high-frequency data on individual stocks and a few popular time-series volatility models, in this paper we comprehensively examine how volatility forecastability varies across bull and bear states of the stock market. We find that the volatility forecast horizon is substantially longer when the market is in a bear state than when it is in a bull state. In addition, the volatility forecast accuracy is…

050208 financeHorizon (archaeology)05 social sciencesMarket statesStock returnComputingMilieux_GENERALState dependent0502 economics and businessForecast biasEconometricsEconomicsState dependenceStock market050207 economicsPredictabilityVolatility (finance)General Economics Econometrics and FinanceFinanceStock (geology)SSRN Electronic Journal
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Emergence of statistically validated financial intraday lead-lag relationships

2014

According to the leading models in modern finance, the presence of intraday lead-lag relationships between financial assets is negligible in efficient markets. With the advance of technology, however, markets have become more sophisticated. To determine whether this has resulted in an improved market efficiency, we investigate whether statistically significant lagged correlation relationships exist in financial markets. We introduce a numerical method to statistically validate links in correlation-based networks, and employ our method to study lagged correlation networks of equity returns in financial markets. Crucially, our statistical validation of lead-lag relationships accounts for mult…

Bootstrap methodFinancial market01 natural sciencesLead-lag correlation010305 fluids & plasmasFOS: Economics and businessCorrelationSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Statistically validated network0502 economics and business0103 physical sciencesStatisticsEconomicsEconometricsStock (geology)FinanceStatistical Finance (q-fin.ST)050208 financeHigh-frequency databusiness.industry05 social sciencesFinancial marketMarket efficiencyEquity (finance)Quantitative Finance - Statistical FinanceStock returnSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Economics Econometrics and Finance (all)2001 Economics Econometrics and Finance (miscellaneous)Multiple comparisons problemLead–lag compensatorbusinessGeneral Economics Econometrics and FinanceTransaction dataFinanceQuantitative Finance
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Time-varying causality between crude oil and stock markets: What can we learn from a multiscale perspective?

2017

This paper investigates the presence of time-varying causal linkages in mean and variance between oil price changes and stock returns for six major oil-importing countries (France, Germany, Italy, Spain, the UK and the US) in a multiscale framework that combines wavelet analysis and a modified version of the dynamic causality test of Lu, Hong, Wang, Lai, and Liu (2014). The results show significant bidirectional causal relations between oil and stock markets at the different time horizons for all countries. The causal links tend to be stronger at coarser scales and in periods of financial turmoil, mainly during the recent global financial and European sovereign debt crises. This evidence pr…

Economics and EconometricsFinancial economics020209 energyCausal relations02 engineering and technologyWavelet analysisCrude oilStock returnsGranger causality0202 electrical engineering electronic engineering information engineeringEconomicsGranger causalityOil priceOil priceSovereign debtFinanceStock (geology)
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Stock Returns and Exchange Rate Volatility Spillovers in the MENA Region

2010

In this article, we examine the presence of volatility spillovers between nominal exchange rates and stock returns in three MENA countries: Egypt, Morocco and Turkey. The multivariate GARCH model we use does not produce evidence of cross-market effects for the general stock indices returns. Nevertheless, bidirectional shock and volatility spillovers between exchange rates and stock returns exist at the industry sector level. These findings are more pronounced in Egypt and Turkey. The different results are due to the different exchange rate regimes/policies adopted by the three countries. While exchange rates in Egypt and Turkey were allowed to float, Morocco followed a more tightly managed…

Economics and Econometricsvolatility spilloversFinancial economicsMultivariate GarchMonetary economicsExchange-rate regimeStock market indexexchange ratesMultivariate garch modelExchange rateStock returnsIndustry sectorExchange rate volatilityEconomicsStock returns; exchange rates; volatility spillovers; Multivariate Garch_Volatility (finance)FinanceStock (geology)
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Interest rate changes and stock returns in Spain: A wavelet analysis

2015

This paper investigates the relationship between changes in interest rates and the Spanish stock market at the industry level over the period from January 1993 to December 2012 using a wavelet-based approach. The empirical results indicate that Spanish industries exhibit, in general, a significant interest rate sensitivity, although the degree of interest rate exposure differs considerably across industries and depending on the time horizon under consideration. In particular, regulated industries such as Utilities, highly indebted industries such as Real Estate, Utilities or Technology and Telecommunications, and the Banking industry emerge as the most vulnerable to interest rates. Further,…

Financial economicsmedia_common.quotation_subjectEquity (finance)Time horizonReal estateGeneral Medicinelcsh:BusinessWaveletsInterest rateEmpresesWaveletInvestment decisionsInterest ratesStock returnsddc:650EconomicsIndustryStock marketlcsh:HF5001-6182Stock (geology)media_commonHaar á trous wavelet
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Is Big Brother Watching Us? Google, Investor Sentiment and the Stock Market

2013

International audience; This paper proposes a novel measure of French investor sentiment based on the volume of internet search reported by Google Trends. We find that our sentiment indicator correlates well with alternative sentiment measures often used in the literature. Furthermore, we find that investor sentiment influences the behavior of mutual fund investors. The results also reveal evidence about short-run predictability in return. An increase in our sentiment index leads to short-term return reversal. The reversal pattern is more pronounced for smaller firms than larger firms, consistent with the predictions of noise trader's models.

Index (economics)Financial economicsbusiness.industryGoogle TrendsInvestor sentimentBrotherStock returnsjel:G0Google Trends Investor sentiment VAR model Stock returnsjel:G1Noise traderEconomics[SHS.GESTION]Humanities and Social Sciences/Business administrationStock marketThe InternetPredictabilitybusiness[ SHS.GESTION ] Humanities and Social Sciences/Business administration[SHS.GESTION] Humanities and Social Sciences/Business administrationMutual fund
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Timescale-dependent stock market comovement: BRICs vs. developed markets

2014

This paper examines the differences in the asset return comovement of the BRIC countries (Brazil, Russia, India and China), the other developed economies in their regions (Canada, Hong Kong and Australia) and the major industrialized economies (the U.K., Germany and Japan) with respect to the U.S. for different return periods. The novelty of the paper is that the stock return indices are decomposed to several timescales using wavelet analysis and that the results are further used as inputs for the dynamic conditional correlation (DCC) framework, which is used as a measure of comovement. The results propose that the level of stock market comovement depends on regional aspects, the level of d…

International stock marketsEconomics and EconometricsBRICcomovementInternational economicsMonetary economicsAsset returninternational stock marketsStock returnwaveletsBRICdynamic conditional correlationHomogeneous groupEconomicsStock marketEmerging marketsChinata512Finance
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Switching to floating exchange rates, devaluations, and stock returns in MENA countries

2012

Abstract We test for the impact of the announcements of floating and/or devaluating the exchange rate on stock returns in three MENA countries after the financial crises they experienced. We, first, use an event-study methodology to test for event-induced abnormal volatility of stock returns in Egypt, Morocco and Turkey. We, then, use three different methodologies to test for abnormal returns: a traditional approach and two approaches that control for event-induced volatility. We find clear evidence of abnormal volatility and abnormal returns due to the floating of the Egyptian and Turkish exchange rates in 2003 and 2001, respectively. In contrast, our results do not show that the devaluati…

MENA regionEconomics and EconometricsEvent studyDevaluationFinancial crisisFinancial systemExchange rateExchange rate Stock returns Returns volatility MENA region Event study Financial crisisStock returnExchange rateEvent studyCurrencyFinancial crisisReturns volatilityEconomicsVolatility (finance)FinanceStock (geology)International Review of Financial Analysis
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Measuring investor sentiment in the stock market

2011

Recently, investor sentiment measures have become one of the more widely examined areas in behavioral finance. A number of measures have been developed in the literature without having been fully validated, and therefore leaving in question which measure should be used for empirical exploration. The purpose of this study is to examine the relative performance of a number of popular measures in predicting stock returns and to test the relative efficacy of a hybrid approach. Using a panel of investor sentiment measures, we develop a new measure of sentiment which combines direct and indirect sentiment measures. Our results show that our composite sentiment index affects the returns of stocks …

Relative efficacyFinancial economicsBehavioral economicsHybrid approachjel:G12sentiment measures;composite index;stock returns.jel:G14Noise traderEconometricsStock marketBusinessArbitrageComposite indexStock (geology)
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Variety of Stock Returns in Normal and Extreme Market Days: The August 1998 Crisis

2002

We investigate the recently introduced variety of a set of stock returns traded in a financial market. This investigation is done by considering daily and intraday time horizons in a 15-day time period centered at the August 31st, 1998 crash of the S&P500 index. All the stocks traded at the NYSE during that period are considered in the present analysis. We show that the statistical properties of the variety observed in analyses of daily returns also hold for intraday returns. In particular the largest changes of the variety of the return distribution turns out to be most localized at the opening or (to a less degree) at the closing of the market.

Return distributionActuarial scienceFinancial marketEconometricsEconomicsPrice returnTime horizonStock returnStock (geology)
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