Transmission of Volatility between Stock Markets


Book Description

This paper investigates why, in October 1987, almost all stock markets fell together despite widely differing economic circumstances. The idea is that quot;contagionquot; between markets occurs as the result of attempts by rational agents to infer information from price changes in other markets. This provides a channel through which a quot;mistakequot; in one market can be transmitted to other markets. Hourly stock price data from New York, Tokyo and London during an eight month period around the crash offer support for the contagion model. In addition, the magnitude of the contagion coefficients are found to increase with volatility.




Volatility Transmission between the Oil and Stock Markets


Book Description

Diploma Thesis from the year 2010 in the subject Economics - Finance, grade: 1,3, University of Potsdam (Makroökonomische Theorie und Politik), language: English, abstract: Besonders in jüngster Zeit kommt der Analyse von Ölpreisvolatilität aus volkswirtschaftlicher Sicht eine bedeutende Rolle zu. Gegenwärtig werden bestimmte Rohstoffe wie Rohöl als relevante Anlageinstrumenten von Investoren benutzt, um sich gegen Risiken an den Finanzmärkten abzusichern. Diese Diplomarbeit beschäftigt sich mit der Berechnung von Ölpreisvolatilität in der Zeitperiode von Januar 2002 bis Juli 2009. Dabei werden Berechnungen von Ölpreisvolatilität während der Finanzkrise im Jahre 2008 untersucht. Diese Finanzkrise hat sich tiefgreifend auf die Entwicklung der Preise von Kapital- und Finanzgütern ausgewirkt. Dabei weisen die exzessiven gemessenen Werte von Preisvolatilität während der Finanzkrise auf eine strukturelle Veränderung der Preisbildung von Kapital- und Finanzgütern an den Kapital- und Finanzmärkten hin. Interessanterweise lassen sich bei der Analyse von Ölpreisvolatilität bedeutende Fakten feststellen, deren Existenz die gegenwärtig verwendeten statistischen Modelle, die sich mit der Messung von Preisvolatilität befassen, in künftigen Arbeiten komplementieren könnten. Im Rahmen dieser Diplomarbeit werden fünf wichtige statistische Modelle analysiert: ARCH, GARCH, BEKK-GARCH und Markov-switching Modell. Dazu wird aus den Ölpreisdaten der letzten 8 Jahre die tägliche Preisvolatilität berechnet, um mögliche Relationen zwischen der Volatilität am Ölmarkt und der Volatilität am Finanzmarkt zu untersuchen. Dabei werden diese implementierten Verfahren auf ihre Gültigkeit in Berechnung und Vorhersage von plötzlichen Preisveränderungen untersucht. Insbesondere wird darauf eingegangen unter welchen Bedingungen die Verfahrensergebnisse als zuverlässig gelten. Diese Diplomarbeit wurde im Rahmen eines Forschungspraktikums bei der Organisation erdölexportierender Länder (OPEC) in Wien, Österreich unter Betreuung des Lehrstuhls für Wirtschaftstheorie der Universität Potsdam, fertiggestellt




Volatility Spillovers and Contagion from Mature to Emerging Stock Markets


Book Description

This paper examines volatility spillovers from mature to emerging stock markets and tests for changes in the transmission mechanism-contagion-during turbulences in mature markets. Tri-variate GARCH-BEKK models of returns in global (mature), regional, and local markets are estimated for 41 emerging market economies (EMEs), with a dummy capturing parameter shifts during turbulent episodes. LR tests suggest that mature markets influence conditional variances in many emerging markets. Moreover, spillover parameters change during turbulent episodes. Conditional variances in most EMEs rise during these episodes, but there is only limited evidence of shifts in conditional correlations between mature and emerging markets.




Transmission of Volatility Across Asia-Pacific Stock Markets


Book Description

In finance literature, volatility is synonymous with the measure of risk. Spillover of volatility refers to the transmission of disturbances or shock from one market to another and has direct consequence on resource allocation, risk hedging, and even, monetary policies. Spillover between stock markets has been the subject of study since 1990s where researchers have studied the nature of time-varying correlations between international stock markets. Extant literature substantiates the fact that volatility spillover between international stock markets happens at all times and that developed nations, particularly the US, is the major source of spillover. However, studies involving emerging markets, specifically in the Asia-Pacific region is scarce. Moreover, a clear understanding regarding the pattern of volatility transmission across international stock markets is lacking. The present study attempts to track the transmission of volatility across 11 international stock markets in the Asia-Pacific region over a span of 20 years, which include both crises (i.e. contagion form) and non-crisis periods. It also investigates whether global transmission of volatility follow a pattern. Our study contributes to the literature in two ways: (1) It provides a historical map of volatility transmission in the Asia-Pacific region; and (2) this study identifies the path and pattern of volatility spillover across Asia-Pacific stock markets.







Volatility Transmission Between US and Latin American Stock Markets


Book Description

We test for volatility transmission between US and the six largest Latin American stock markets (Argentina, Brazil, Chile, Colombia, Mexico and Peru) using MGARCH-BEKK models in daily frequency from March 1993 to March 2013. As expected, we find strong evidence of volatility transmission from US to the Latin American markets but not so in the opposite direction. Testing the hypothesis of decoupling between US and Brazil and Mexico the evidence goes against it: the conditional correlations between US and the two emerging markets have steadily increased over the sample period and the volatility transmission have become more significant from 2003 onwards. We also find some evidence on the leadership of Brazil in the region, being the only Latin American stock market consistently transmitting volatility to US.










Volatility Spillovers and Contagion from Mature to Emerging Stock Markets


Book Description

This paper examines volatility spillovers from mature to emerging stock markets and tests for changes in the transmission mechanism-contagion-during turbulences in mature markets. Tri-variate GARCH-BEKK models of returns in global (mature), regional, and local markets are estimated for 41 emerging market economies (EMEs), with a dummy capturing parameter shifts during turbulent episodes. LR tests suggest that mature markets influence conditional variances in many emerging markets. Moreover, spillover parameters change during turbulent episodes. Conditional variances in most EMEs rise during these episodes, but there is only limited evidence of shifts in conditional correlations between mature and emerging markets.