دانلود مقاله ISI انگلیسی شماره 15272
عنوان فارسی مقاله

اندازه گیری و ارزیابی اثرات و میزان ادغام بازار اوراق قرضه بین المللی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
15272 2006 18 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Volatility spillovers and dynamic correlation in European bond markets
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of International Financial Markets, Institutions and Money, Volume 16, Issue 1, February 2006, Pages 23–40

کلمات کلیدی
سرریز نوسانات - ارتباط پویا - بازار اوراق قرضه
پیش نمایش مقاله
پیش نمایش مقاله اندازه گیری و ارزیابی اثرات و میزان ادغام بازار اوراق قرضه بین المللی

چکیده انگلیسی

This paper examines the dynamic linkages among the European bond markets. We model the price and volatility spillovers from the US bond market and the aggregate Euro area bond market to twelve individual European bond markets using an EGARCH model that allows for a dynamic correlation structure. Our results suggest that significant volatility spillovers exist from both the aggregate Euro area bond market and the US bond market to the individual European markets. Moreover, the introduction of the Euro has strengthened the volatility spillover effects and the cross-correlations for most European bond markets.

مقدمه انگلیسی

The liberalization of capital flows facilitated by recent developments in trading technologies and improved transmission of news has resulted to increased integration between international financial markets. Understanding the behavior and sources of international financial markets linkages is important for diversifying internationally, pricing securities and making asset allocation decisions. The objective of this study is to investigate the market factors influencing European bond markets. More specifically, we measure how and to what extent the volatility of a European bond market is affected by local shocks, regional shocks and world shocks. In addition to exploring the volatility transmission mechanism, the dynamic correlation between the European bond markets is investigated. In contrast to previous studies on volatility spillovers, we focus on international bond markets and we allow for a time-varying correlation structure. The issue of interdependence among international financial markets has received significant attention in the finance literature. A number of studies have focused on stock market interdependence in terms of price and volatility spillovers (e.g. Eun and Shim, 1989, Hamao et al., 1990 and Koutmos and Booth, 1995). Of particular interest is the impact of world factors to national stock markets. For example, Bekaert and Harvey (1997) study the nature of volatility in emerging stock markets and find that volatility in emerging markets is less influenced by world factors. Ng (2000) studies the influence of world and regional factors in the Pacific-Basin region. She finds that both world and regional factors influence the Pacific-Basin stock markets although the influence of world factors is more intense. This study focuses on the magnitude and the changing nature of price and volatility spillovers in the European bond markets. Most previous studies focus on the major US, Canadian, Japanese and UK stock markets. A limited number of studies have examined the volatility links between European stock markets. Eun and Shim (1989) examine the transmission mechanism of returns from US to some European markets, while Espitia and Santamaria (1994) study the return transmission mechanism across European markets using a VAR methodology. Booth et al. (1997) find weak evidence of price and volatility spillovers among four Scandinavian stock markets. Kanas (1998) uses an exponential GARCH model to investigate the volatility transmission mechanism across the three largest European stock markets, London, Frankfurt and Paris. The recent developments within the European Monetary Union (EMU) have resulted to increased stock market interdependence among EMU countries and, consequently, question the dominance of the world financial markets in the Euro area. Fratzscher (2002) investigates shock spillovers from US to European equity markets. He finds that the transmission of shocks from the Euro area has become more important compared to shocks from the US market. The aim of our study is to investigate how local, regional and world market factors affect the European bond markets by measuring how and to what extent the volatility of a European market is affected by shocks in the same country, in the aggregate Euro area bond market and, finally, outside Europe (US). The contribution of this study is threefold. While most of the previous studies have focused on the interaction between a single pair of countries, we investigate the influence of two major market factors, regional and world, to both Euro and non-Euro area national bond markets within the European region. Secondly, this study focuses on the relationships between bond markets that, relative to equity markets, are less-studied in the literature (see Ilmanen, 1995, Clare and Lekkos, 2000 and Driessen et al., 2003). Thirdly, most approaches for modeling volatility spillovers assume conditional time-invariant correlations in order to simplify the estimation procedure (see Booth et al., 1997, Laopodis, 2002 and Miyakoshi, 2003). However, several studies (e.g. Erb et al., 1994 and Longin and Solnik, 1995, amongst others) provide evidence that support the time-variability of correlation. This study builds upon the methodology developed by Darbar and Deb (2002) and models volatility spillovers assuming a time-varying conditional correlation. Finally, extending the sample period beyond the launch of Euro in January 1999, allows us to test how the bond markets interdependence has changed after this major event. The volatility transmission mechanism is modeled using a multivariate extension of Nelson (1991) exponential general autoregressive conditional heteroscedasticity (EGARCH) model. The model used allows for both mean and volatility spillovers and captures potential asymmetries in the volatility spillover mechanism. Similar approaches for modeling volatility spillovers have been used in Koutmos and Booth (1995), Booth et al. (1997), Ng (2000), So (2001). In contrast to previous studies, the multivariate model allows for a dynamic structure of conditional correlation. The overall results of our study indicate that there are short-run dynamic relationships between the individual European bond markets and the aggregate Euro area bond market in terms of both price and volatility spillovers. The price and volatility spillover processes as well as the correlation structure have significantly changed for a number of European bond markets after the introduction of Euro. Finally, the US bond market significantly influences the individual European bond markets in terms of both price and volatility spillovers. The remainder of this paper is organized as follows. Section 2 presents the bivariate EGARCH model used for modeling volatility spillovers and the dynamic correlation structure. Section 3 describes the dataset and reports some preliminary statistics. Section 4 presents and analyses the empirical results, and Section 5 concludes.

نتیجه گیری انگلیسی

This paper investigates the magnitude and changing nature of the volatility spillovers from the aggregate Euro area bond market and the US bond market to eleven individual European bond markets. The econometric methodology used to model the volatility transmission mechanism allows us to investigate the price and volatility transmission mechanism as well as the time-varying correlation structure between the individual European bond markets and the aggregate Euro area bond market index. The empirical results of this study are threefold. Firstly, significant price and volatility spillovers exist between the aggregate Euro area bond market and the individual European bond markets both within and outside the Euro area. The second moment interdependencies are far more pronounced and reciprocal than the first moment interdependencies. Moreover, the own market effects are significant in the volatility process of most European bond markets. In most of these markets local and regional shocks have an asymmetric impact in the bond market volatility process. While this is a well-documented stylized fact for stock market returns, it has not been extensively investigated for bond market returns. Secondly, the results of our analysis indicate that the world market factor of US has a significant influence in the individual European bond market volatility process. While the US market returns influence the European bond market returns in a limited number of cases, the US bond market volatility is a significant factor in explaining the individual European bond market volatilities in almost all cases. However, both domestic and regional effects to the European bond market returns and volatility are more pronounced compared to US effects. Finally, the introduction of Euro has significantly affected the price and volatility transmission mechanism in both Euro area and non-Euro area bond markets. In most European bond markets, the price and volatility spillover coefficients from and to the aggregate Euro area index have significantly increased after this major event. Furthermore, the correlation levels among the euro area bond markets and countries have increased and become more stable after the introduction of Euro. The volatility transmission mechanism and the conditional correlation in Denmark's bond market is similar to the euro-area bond markets. An interesting issue for further research is to include emerging European bond markets in the sample under examination.

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