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Wyświetlanie 1-6 z 6
Tytuł:
Switching Volatility in Emerging Stock Markets and Financial Liberalization: Evidence from the new EU Member Countries
Autorzy:
Kouretas, Georgios
Syllignakis, Manolis
Powiązania:
https://bibliotekanauki.pl/articles/483237.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
emerging European stock markets
stock return volatility
Markov switching
financial crises
Opis:
In this paper, we use weekly stock market data to examine whether the volatility of stock returns of ten emerging capital markets of the new EU member countries has changed since the opening of their capital markets. In particular we are interested in understanding whether there are high and low periods of stock returns volatility and what the degree of correlation across these markets is. We estimate a Markov-Switching ARCH (SWARCH) model proposed by Hamilton and Susmel (1994) and we allow for the possibility that two or three volatility regimes may exist for stock returns volatility. The main finding of the present study is that the high volatility of stock returns of all new EU emerging stock markets is associated mainly with the 1997-1998 Asian and Russian financial crises as well as over the 2007-2009 financial turmoil, while there is a transition to the low volatility regime as they approach the accession to the EU in 2004. It is also shown that the capital flows liberalization process has resulted in an increase in volatility of stock returns in most cases.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2012, 4, 2; 65-93
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Markov Switching In-Mean Effect. Bayesian Analysis in Stochastic Volatility Framework
Autorzy:
Kwiatkowski, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/483277.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Markov switching
stochastic volatility
risk premium
in-mean effect
Bayesian analysis
Opis:
In the study we introduce an extension to a stochastic volatility in mean model (SV-M), allowing for discrete regime switches in the risk premium parameter. The logic behind the idea is that neglecting a possibly regimechanging nature of the relation between the current volatility (conditional standard deviation) and asset return within an ordinary SV-M specification may lead to spurious insignificance of the risk premium parameter (as being 'averaged out' over the regimes). Therefore, we allow the volatility in-mean effect to switch over different regimes according to a discrete homogeneous twostate Markov chain. We treat the new specification within the Bayesian framework, which allows to fully account for the uncertainty of model parameters, latent conditional variances and hidden Markov chain state variables. Standard Markov Chain Monte Carlo methods, including the Gibbs sampler and the Metropolis-Hastings algorithm, are adapted to estimate the model and to obtain predictive densities of selected quantities. Presented methodology is applied to analyse series of the Warsaw Stock Exchange index (WIG) and its sectoral subindices. Although rare, once spotted the switching inmean effect substantially enhances the model fit to the data, as measured by the value of the marginal data density.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2010, 2, 1; 59-94
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Influence of the Greek Crisis on the Risk Perception of European Economies
Autorzy:
Kliber, Agata
Powiązania:
https://bibliotekanauki.pl/articles/483351.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
CDS
bond spread
Markov-switching models
GARCH models
volatility
financial crisis
Opis:
In the article the author analyses the impact of the Financial Crisis, especially the Greek fiscal one, on the sCDS prices in Europe. The aim of the article is to assess the ability of the sCDS premia to price the risk of countries before and during the Greek crisis. The author analyses sCDS premia of maturity 10 years together with the so called bond-spreads, i.e. the spreads between the countries’ bond indexes and the risk free rate of the region (in our case it was the yield of German bonds of corresponding maturity - 10 years). The idea was to check whether there occurred any discrepancies in the risk valuation via the two measures, as a consequence of the Greek crisis. The data is taken daily and covers the period of 2008-2012. Based upon the results obtained in the research we conclude that the Greek crisis indeed influenced the relationships between the two measures of risk, however the degree of the influence was different in different countries. The relationships between the two measures of risk were totally broken only in the case of Greece, while in the other countries the relationships either were not distorted or had been broken already at the beginning of the financial crisis (2008/2009). The Greek problems were indeed reflected in volatilities of all analysed instruments; however triggering the credit event affected only Greek bonds dynamics.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2013, 5, 2; 125-161
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecasting the Polish Zloty with Non-Linear Models
Autorzy:
Rubaszek, Michał
Skrzypczyński, Paweł
Koloch, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/483367.pdf
Data publikacji:
2010-11-03
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
exchange rate forecasting
Polish zloty
Markov-switching models
artificial neural networks
Opis:
The literature on exchange rate forecasting is vast. Many researchers have tested whether implications of theoretical economic models or the use of advanced econometric techniques can help explain future movements in exchange rates. The results of the empirical studies for major world currencies show that forecasts from a naive random walk tend to be comparable or even better than forecasts from more sophisticated models. In the case of the Polish zloty, the discussion in the literature on exchange rate forecasting is scarce. This article fills this gap by testing whether non-linear time series models are able to generate forecasts for the nominal exchange rate of the Polish zloty that are more accurate than forecasts from a random walk. Our results confirm the main findings from the literature, namely that it is dificult to outperform a naive random walk in exchange rate forecasting contest.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2010, 2, 2; 151-167
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian Analysis of a Regime Switching In-Mean Effect for the Polish Stock Market
Autorzy:
Kwiatkowski, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/483371.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Markov switching
stochastic volatility
risk premium
in-mean effect
Bayesian analysis
Opis:
The study aims at a statistical verification of breaks in the risk-return relationship for shares of individual companies quoted at the Warsaw Stock Exchange. To this end a stochastic volatility model incorporating Markov switching in-mean effect (SV-MS-M) is employed. We argue that neglecting possible regime changes in the relation between expected return and volatility within an ordinary SV-M specification may lead to spurious insignificance of the risk premium parameter (as being 'averaged out' over the regimes). Therefore, we allow the volatility-in-mean effect to switch over different regimes according to a discrete homogeneous two- or three-state Markov chain. The model is handled within Bayesian framework, which allows to fully account for the uncertainty of model parameters, latent conditional variances and state variables. MCMC methods, including the Gibbs sampler, Metropolis-Hastings algorithm and the forward-filtering-backward-sampling scheme are suitably adopted to obtain posterior densities of interest as well as marginal data density. The latter allows for a formal model comparison in terms of the in-sample fit and, thereby, inference on the 'adequate' number of the risk premium regimes.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2011, 3, 4; 187-219
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic Linkages in the Pairs (GBP/EUR, USD/EUR) and (GBP/USD, EUR/USD): How Do They Change During a Day?
Autorzy:
Doman, Małgorzata
Doman, Ryszard
Powiązania:
https://bibliotekanauki.pl/articles/483281.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
exchange rates
FOREX
linkages
copula
Markov regime switching
Spearman’s rho
volatility
tail dependence
crisis
Opis:
In the paper, we document how conditional dependencies observed in the FOREX market change during a trading day. The analysis is performed for the pairs (GBP/EUR, USD/EUR) and (GBP/USD, EUR/USD) of exchange rates. We consider daily returns calculated using the exchange rates quoted at different hours of a day. The dynamics of the dependencies is modeled by means of 3-regime Markov regime switching copula models, and the strength of the linkages is described using dynamic Spearman’s rho and the dynamic coefficients of tail dependence. The established approach allows us to monitor the changes in the dependence structure.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2014, 1; 33-56
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

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