Search results for "FINANCIAL ECONOMICS"

showing 10 items of 277 documents

Tick Size and Price Diffusion

2011

A tick size is the smallest increment of a security price. Tick size is typically regulated by the exchange where the security is traded and it may be modified either because the exchange enforces an overall tick size change or because the price of the security is too low or too high. There is an extensive literature, partially reviewed in Sect. 2 of the present paper, on the role of tick size in the price formation process. However, the role and the importance of tick size has not been yet fully understood, as testified, for example, by a recent document of the Committee of European Securities Regulators (CESR) [1].

Return distributionFinancial economicsSecurity priceTick sizeEconomicsPrice formation
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A dynamic analysis of SP 500, FTSE 100 and EURO STOXX 50 indices under different exchange rates.

2018

In this study, we assess the dynamic evolution of short-term correlation, long-term cointe-gration and Error Correction Model (hereafter referred to as ECM)-based long-term Granger causality between each pair of US, UK, and Eurozone stock markets from 1980 to 2015 using the rolling-window technique. A comparative analysis of pairwise dynamic integration and causality of stock markets, measured in common and domestic currency terms, is conducted to evaluate comprehensively how exchange rate fluctuations affect the time-varying integration among the S&P 500, FTSE 100 and EURO STOXX 50 indices. The results obtained show that the dynamic correlation, cointegration and ECM-based long-run Gra…

RiskTime FactorsStock MarketsFinancial economicsEconomicslcsh:MedicineSocial SciencesGeographical LocationsExchange rateDevelopment EconomicsGranger causalityBiochemistry Genetics and Molecular Biology (all); Agricultural and Biological Sciences (all)Economic Growth0502 economics and businessEconometricsEconomics050207 economicsInvestmentsCapital Marketslcsh:ScienceFinancial MarketsStock (geology)050208 financeMultidisciplinaryBiochemistry Genetics and Molecular Biology (all)Models StatisticalCointegrationlcsh:R05 social sciencesFinancial marketPoliticsStock market indexUnited StatesError correction modelEuropeModels EconomicResource Management (Economics)Agricultural and Biological Sciences (all)8. Economic growthFinancial crisisPeople and PlacesNorth Americalcsh:QFinanceResearch ArticlePloS one
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Volatility Transmission Models: A Survey

2005

This study reviews the literature on volatility transmission in order to determine what we have learnt about the different methodologies applied. In particular, GARCH, regime switching and stochastic volatility models are analysed. In addition, this study covers several concrete aspects such as their scope of application, the overlapping problem, the concept of efficiency and asymmetry modelling. Finally, emerging topics and unanswered questions are identified, serving as an agenda for future research.

Scope (project management)Stochastic volatilityOrder (exchange)Financial economicsFinancial models with long-tailed distributions and volatility clusteringAutoregressive conditional heteroskedasticityVolatility swapVolatility smileEconometricsEconomicsImplied volatilitySSRN Electronic Journal
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What Do We Know About the Second Moment of Financial Markets?

2021

Recent research shows that the vast majority of scientific studies published in leading finance journals fails scientific replication (Hou, Xue, and Zhang, 2020; Harvey, Liu, and Zhu; 2016). This study argues that p-hacking, publication pressure and the selection bias from leading finance journals are perhaps not the underlying root cause for this issue. We show that standard methodologies often used in finance research are inevitably sample-specific due to the very nature of financial markets. While the consensus of earlier research postulates a rejection of the time-honored Levy hypothesis, our results strongly indicate that the variance of variance does not exist in any of the financial …

Selection biasUnexpected findingFinancial economicsmedia_common.quotation_subjectZhàngFinancial marketExtreme eventsEconomicsLiberian dollarVariance (accounting)Root causemedia_commonSSRN Electronic Journal
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Skewness in individual stocks at different investment horizons

2002

Abstract This paper examines the (a)symmetry of several individual stock returns at different investment horizons: daily, weekly and monthly. While some asymmetries are observed in daily returns, they disappear almost completely in weekly and monthly returns. The explanation for this fact lies in the convergence to normality that takes place when the investment horizon increases. These features allow one to question several financial models; in particular, they question the preference for positive skewness as a factor for investments in stock markets.

SkewnessFinancial economicsmedia_common.quotation_subjectEconomicsFinancial modelingPositive skewnessGeneral Economics Econometrics and Financehealth care economics and organizationsFinanceNormalityStock (geology)media_commonQuantitative Finance
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A model of the Islamic sovereign wealth fund

2019

Purpose The purpose of this paper is to propose a model of the Islamic sovereign wealth funds (ISWFs) based on Islamic finance principles to modify the precarious image of SWFs from Muslim countries. The Shariah laws are the cardinal direction for this study. Design/methodology/approach The authors applied a qualitative research technique that consists of three approaches: exploratory case study approach to critically examine and rank the existing status of SWFs; descriptive analysis; and content analysis to present a model of ISWFs in comparison of conventional SWFs. Findings The authors propose a model of the “Islamic Sovereign Wealth Funds” based on four key pillars: the major Shariah p…

Sovereign Wealth FundsSettore SECS-P/11 - ECONOMIA DEGLI INTERMEDIARI FINANZIARIDescriptive statisticsContent analysisTransparency (market)Financial economicsCorporate governanceSovereign wealth fundCriticismCorporate social responsibilityIslamBusinessVDP::Samfunnsvitenskap: 200::Statsvitenskap og organisasjonsteori: 240Islamic Economic Studies
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Another Look at Value and Momentum: Volatility Spillovers

2017

This paper examines volatility interdependencies between value and momentum returns. Using U.S. data over the period 1926-2015, we document persistent periods of low and high volatility spillovers between value and momentum strategies. Moreover, we find that the intensity of the volatility spillovers may change substantially in very short periods of time and that these shifts in spillover intensity can be linked to prominent economic events and financial market turmoil. Our results further demonstrate that value returns increase and momentum returns decrease monotonically with increasing volatility spillovers between the two strategies. Given this linkage between spillover intensity and ret…

Spillover effectFinancial economicsVolatility swapForward volatilityVolatility smileEconometricsEconomicsTrading strategyImplied volatilityVolatility (finance)Volatility risk premiumSSRN Electronic Journal
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On the Pricing and Hedging of Options on Commodity Forward and Futures Contracts - A Note

2007

In recent years there appeared some organized markets for forward contracts and options on these contracts. In this paper we review shortly the organization of trade on a centralized forward market. Assuming a friction-free market with constant interest rate we build a consistent continuous time framework for the valuation and hedging of options on a forward or a futures contract. This framework takes into account the peculiarities of a forward/futures contract. In our framework we consider the pricing and hedging of options on a forward contract and reconsider the Black-76 model for the pricing and hedging of options on a futures contract.

Spot contractForward contractFinancial economicsNormal backwardationForward priceForward marketBusinessHedge (finance)Futures contractSpread tradeSSRN Electronic Journal
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Statistical Properties of Statistical Ensembles of Stock Returns

1999

We select n stocks traded in the New York Stock Exchange and we form a statistical ensemble of daily stock returns for each of the k trading days of our database from the stock price time series. We analyze each ensemble of stock returns by extracting its first four central moments. We observe that these moments are fluctuating in time and are stochastic processes themselves. We characterize the statistical properties of central moments by investigating their probability density function and temporal correlation properties.

Statistical ensemblePhysics::Physics and SocietyStatistical Finance (q-fin.ST)Statistical Mechanics (cond-mat.stat-mech)Stochastic processFinancial economicsQuantitative Finance - Statistical FinanceFOS: Physical sciencesProbability density functionTemporal correlationStock priceFOS: Economics and businessStock exchangeComputer Science::Computational Engineering Finance and ScienceEconomicsEconometricsGeneral Economics Econometrics and FinanceFinanceStock (geology)Condensed Matter - Statistical Mechanics
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The geography of Spanish bank branches

2014

This article analyzes the determinants of bank branch location in Spain taking the role of geography explicitly into account. After a long period of intense territorial expansion, especially by savings banks, many of these firms are now involved in merger processes triggered off by the financial crisis, most of which entail the closing of many branches. However, given the contributions of this type of banks to limit financial exclusion, this process might exacerbate the consequences of the crisis for some disadvantaged social groups. Related problems such as new banking regulation initiatives (Basel III), or the current excess capacity in the sector add further relevance to this problem. We…

Statistics and ProbabilityActuarial sciencemunicipalityFinancial economicsProcess (engineering)bankBayesian statisticsbranchR1Basel IIIGeneralized linear mixed modelDisadvantagedSocial groupFinancial crisisRelevance (law)Capacity utilizationG21Statistics Probability and UncertaintyC11Journal of Applied Statistics
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