Search results for "volatility"
showing 10 items of 245 documents
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 …
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…
Volatility risk premia and financial connectedness
2014
In this paper we use the Diebold Yilmaz (2009 and 2012) methodology to construct an index of connectedness among five European stock markets: France, Germany, UK, Switzerland and the Netherlands, by using volatility risk premia. The volatility risk premium, which is a proxy of risk aversion, is measured by the difference between the implied volatility and expected realized volatility of the stock market for next month. While Diebold and Yilmaz focus is on the forecast error variance decomposition of stock returns or range based volatilities employing a stationary VAR in levels, we account for the (locally) long memory stationary properties of the levels of volatility risk premia series. The…
Financial connectedness among European volatility risk premia
2015
In this paper we use the Diebold Yilmaz (2009 and 2012) methodology to estimate the contribution and the vulnerability to systemic risk of volatility risk premia for five European stock markets: France, Germany, UK, Switzerland and the Netherlands. The volatility risk premium, which is a proxy of risk aversion, is measured by the difference between the implied volatility and expected realized volatility of the stock market for next month. While Diebold and Yilmaz focus is on the forecast error variance decomposition of stock returns or range based volatilities employing a stationary VAR in levels, we account for the (locally) long memory stationary properties of the levels of volatility ris…
An index of financial connectedness applied to variance risk premia
2014
The purpose is to construct an index of financial connectedness among France, Germany, UK, Switzerland and the Netherlands variance risk premia. The variance risk premium of each country stock market is measured by the difference between the (square) of implied volatility and expected realized variance of the stock market for next month. The total and directional indices of financial connectedness are obtained from the forecast error variance decomposition of a Vector Autoregressive Model, VAR, as recently suggested by Diebold and Yilmaz. While the authors main focus is on connectedness among financial returns, they base their analysis on a short memory stationary VAR. Given the long memory…
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…
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…
Managing Risk in Financial Market in Shipping Industry
2011
Based on the knowledge from shipping we would like to study one option strategy for investments on shipping stocks. Since the term paper is relatively short we have chosen one market segment, namely the offshore market, and one shipping company, namely Farstad Shipping. We will use the theory of freight rates from Martin Stopford`s book, Maritime economics, and apply it to the real world. The reason for this is that the freight rates are the income for the shipping companies. Furthermore we will use the financial information from Farstad Shipping to see what the value of Farstad Shipping stocks should be in the future. This we will do based on the freight rates in the offshore market. The m…
Nonrenewable Energy Prices and Stock Prices of EU Financial Companies: A Short Versus Long-Term Analysis
2021
This paper investigates the relationship between financial companies’ stock prices and nonrenewable energy sources prices (crude oil and coal price) using a sample of major financial companies headquartered in the EU. The link between stock prices and nonrenewable energy sources prices risk is modeled using a set of macroeconomic variables, such as Brent crude oil price, coal price, local stock market indices, the EUR/USD exchange rate, long-term interest rates and a global volatility measure (VIX). We apply panel data as the base econometric model and an ARDL extension that sheds light on the long versus short-run exposure of EU financial companies to nonrenewable energy prices volatility.…
Bitcoin and stock market indices: analysis of volatility’s clusters during the bitcoin bubble based on the dynamic conditional correlation model
2019
The market of virtual currencies, called cryptocurrency, has grown immensely since 2008 in terms of market capitalisation and the numbers of new currencies. Bitcoin is one of the most famous cryptocurrency with an estimated market capitalisation of nearly $ 69 billion. The fact that Bitcoin prices have fallen about 70% from their peak value and most indices were down double-digit year to date (2018) with a high daily volatility create the appearance that there has to be a correlation. The purpose of this paper is to investigate the contagion effect between Bitcoin prices and the leading American, European and Asian equity markets using the dynamic conditional correlation (DCC) model propose…