Search results for " volatility."

showing 10 items of 107 documents

Forecasting Exchange Rates Volatilities Using Artificial Neural Networks

2000

This paper employs Artificial Neural Networks to forecast volatilities of the exchange rates of six currencies against the Spanish peseta. First, we propose to use ANN as an alternative to parametric volatility models, then, we employ them as an aggregation procedure to build hybrid models. Though we do not find a systematic superiority of ANN, our results suggest that they are an interesting alternative to classical parametric volatility models.

Exchange rateArtificial neural networkComputer scienceFinancial economicsExchange rate volatilityComputer Science::Neural and Evolutionary ComputationEconometricsVolatility (finance)Parametric statistics
researchProduct

Exchange Rate Volatility in the Balkans and Eastern Europe: Implications for International Investments

2016

Our paper’s objective is to study the volatility of exchange rates from the region that have not yet adopted the Euro and are not members of the Exchange Rate Mechanism II by considering the exchange rate regime and the implications of currency volatility for foreign capital flows. We model exchange rate volatility by using standard deviations of daily logarithmic changes in the exchange rates, rolling standard deviations, Hodrick-Prescott filters to detect the trends in volatility and ARIMA models. We find that currency volatility remains a strong issue for these countries and that central banks have attempted to manage it, particularly after the global financial crisis. Spikes in monthly …

Exchange rateCurrencyExchange rate volatilityFinancial crisisBusinessInternational economicsAutoregressive integrated moving averageMonetary economicsVolatility (finance)Exchange-rate regimeStandard deviation
researchProduct

Trading with Asymmetric Volatility Spillovers

2007

:  We study the profitability of trading strategies based on volatility spillovers between large and small firms. By using the Volatility Impulse-Response Function of Lin (1997) and its extensions, we detect that any volatility shock coming from small companies is important to large companies, but the reverse is only true for negative shocks coming from large firms. To exploit these asymmetric patterns in volatility, different trading rules are designed based on the inverse relationship existing between expected return and volatility. We find that most strategies generate excess after-transaction cost profits, especially after very bad news and very good news coming from large or small firm…

ExploitFinancial economicsMonetary economicsImplied volatilityVolatility risk premiumShock (economics)Trading rulesVolatility swapAccountingVolatility smileEconomicsEconometricsBusiness Management and Accounting (miscellaneous)Expected returnTrading strategyProfitability indexProject portfolio managementVolatility (finance)FinanceJournal of Business Finance & Accounting
researchProduct

Stock Return Volatility on Scandinavian Stock Markets and the Banking Industry: Evidence from the Years of Financial Liberalisation and Banking Crisis

1999

This paper investigates the evolution of the (conditional) volatility of returns on three Scandinavian markets (Finland, Norway and Sweden) over the turbulent period of the past decade, namely the overlapping periods of financial liberalisation, drastically changing macroeconomic conditions and banking crisis. We find that even over this relatively turbulent period volatility is in most cases successfully captured by past volatility and shocks to past volatility, ie by a (symmetric) GARCH process. In each country banking crisis has induced regime shifts in (unconditional) volatility. We also find evidence for cross-country volatility spillovers during the banking crisis episodes. The estima…

FinanceLiberalizationbusiness.industryVolatility swapAutoregressive conditional heteroskedasticityVolatility smileVolatility (finance)Implied volatilitybusinessVolatility risk premiumStock (geology)SSRN Electronic Journal
researchProduct

Modeling the Dynamics of a Financial Index after a Crash

2004

Supply and demand are perhaps the most fundamental concepts in economics. In a financial market they reflects the orders of the agents to buy or sell a given asset. In turn the fluctuations of supply and demand influence the dynamics of the price of an asset, as, for example, a stock or a financial index. Therefore the dynamics of the price of an asset is affected by the actions and of the beliefs of the agents. It is known that the dynamics of the price of an asset is far from simple, Several stylized facts has been empirically discovered such as, for example, the fat tails in the return distribution and the clustered volatility. These stylized facts has been detected by considering long t…

FinanceStatistical regularityStylized factFinancial economicsbusiness.industryFinancial marketEconomicsImplied volatilityVolatility (finance)businessStock (geology)Statistical hypothesis testingSupply and demand
researchProduct

Dynamic Asset Allocation Strategies Based on Unexpected Volatility

2013

In this paper we document that at the aggregate stock market level the unexpected volatility is negatively related to expected future returns and positively related to future volatility. We demonstrate how the predictive ability of unexpected volatility can be utilized in dynamic asset allocation strategies that deliver a substantial improvement in risk-adjusted performance as compared to traditional buy-and-hold strategies. In addition, we demonstrate that active strategies based on unexpected volatility outperform the popular active strategy with volatility target mechanism and have the edge over the widely reputed market timing strategy with 10-month simple moving average rule.

Financial economicsVolatility swapVolatility smileEconometricsEconomicsDynamic asset allocationStock marketVolatility (finance)Implied volatilityMarket timingVolatility risk premiumSSRN Electronic Journal
researchProduct

Is Government Expenditure Volatility Harmful for Growth? A Cross-Country Study

2007

The aim of the paper is to analyse the relationship between government expenditure volatility and long-run growth. Using cross-country panel data from 1970 to 2000, the paper finds that countries with higher government expenditure business-cycle volatility have lower growth, even after controlling for other country-specific growth correlates such as investment, government expenditure, human capital, population growth and output volatility. This relation is robust to different measures of business cycles. Moreover, considering different subsamples, the paper finds that while government volatility significantly affects long-run growth for developing countries, it has a small effect for OECD c…

Fiscal Volatility Growth
researchProduct

Fiscal Rules and Macroeconomic Stability

2005

In this paper we analyze the impact of fiscal rules on the effectiveness of fiscal policy as a macroeconomic stabilizing instrument. First, we review the available evidence on the effects of fiscal policy to affect output in the short run and real interest rates and investment and growth in the long run, and we show how the use of fiscal rules has proved useful in restraining debt and deficits. Secondly, we discuss if debt consolidation rules trade off higher output instability in exchange for lower deficits, using three alternative representations of the intertemporal substitution mechanism in a SDGE framework. Our main conclusion is that both the impact of discretionary fiscal policy and …

Fiscal rules output volatility automatic stabilizers.fiscal rulesoutput volatilityautomatic stabilizersjel:E32jel:E52jel:E63Hacienda Pública Española/Revista de Economía Pública
researchProduct

Hedging effectiveness of European wheat futures markets

2014

The instability of commodity prices and the hypothesis that speculative behaviour was one of its causes has brought renewed interest in futures markets. In this paper, the hedging effectiveness of European and US wheat futures markets were studied to test whether they were affected by the high price instability after 2007. Implicitly, this is a test of whether the increasing presence of speculation in futures markets have made them divorced from the physical markets. A multivariate GARCH model was applied to compute optimal hedging ratios. No important evidence was found of a change in the effectiveness of hedging after 2007.

Futures prices commodity prices volatility wheat Europe Agribusiness Financial Economics International Relations/Trade
researchProduct

The Nexus between Sovereign CDS and Stock Market Volatility: New Evidence

2021

This paper extends the studies published to date by performing an analysis of the causal relationships between sovereign CDS spreads and the estimated conditional volatility of stock indices. This estimation is performed using a vector autoregressive model (VAR) and dynamically applying the Granger causality test. The conditional volatility of the stock market has been obtained through various univariate GARCH models. This methodology allows us to study the information transmissions, both unidirectional and bidirectional, that occur between CDS spreads and stock volatility between 2004 and 2020. We conclude that CDS spread returns cause (in the Granger sense) conditional stock volatility, m…

GARCHGeneral MathematicsAutoregressive conditional heteroskedasticitycds sovereign spread:CIENCIAS ECONÓMICAS [UNESCO]granger causalityGranger causalitygarch0502 economics and businessComputer Science (miscellaneous)EconomicsEconometricsQA1-939050207 economicsvarEngineering (miscellaneous)Stock (geology)050208 financeCDS sovereign spread05 social sciencesUnivariateUNESCO::CIENCIAS ECONÓMICASStock market indexconditional volatilityAutoregressive modelGranger causalityStock marketVARVolatility (finance)MathematicsMathematics
researchProduct