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Author: Peter G. Moffatt Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
We investigate linkages between three different markets: renewable energy (represented by a range of renewable energy ETFs); traditional energy (represented by crude oil ETF); and common stocks (represented by the S&P 500 Index ETF). We use daily data from 2008 to 2021. The econometric framework adopted is the VARMA-DCC-GARCH-in-mean model. We find that this framework is ideal because it allows us to identify the impact of uncertainty in one market on returns in another market, and also volatility spillovers, that is, the phenomenon of high uncertainty in one market spreading to other markets. Our key findings are as follows. Stock-market uncertainty influences traditional energy (negatively) and renewable energy (positively) at the mean level. Stock market volatility has a positive spillover effect on both conventional and renewable energies in the short-run, but these spillover effects are negative in the long-run. Our estimates of the time-paths of dynamic conditional correlations provide evidence that the renewable market is more heavily ``financialized'' than the traditional energy market, and moreover that the strong financialization of renewables is robust to financial crises.
Author: Peter G. Moffatt Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
We investigate linkages between three different markets: renewable energy (represented by a range of renewable energy ETFs); traditional energy (represented by crude oil ETF); and common stocks (represented by the S&P 500 Index ETF). We use daily data from 2008 to 2021. The econometric framework adopted is the VARMA-DCC-GARCH-in-mean model. We find that this framework is ideal because it allows us to identify the impact of uncertainty in one market on returns in another market, and also volatility spillovers, that is, the phenomenon of high uncertainty in one market spreading to other markets. Our key findings are as follows. Stock-market uncertainty influences traditional energy (negatively) and renewable energy (positively) at the mean level. Stock market volatility has a positive spillover effect on both conventional and renewable energies in the short-run, but these spillover effects are negative in the long-run. Our estimates of the time-paths of dynamic conditional correlations provide evidence that the renewable market is more heavily ``financialized'' than the traditional energy market, and moreover that the strong financialization of renewables is robust to financial crises.
Author: Fidel Farias Publisher: GRIN Verlag ISBN: 3668256152 Category : Business & Economics Languages : en Pages : 108
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
Author: John Beirne Publisher: ISBN: Category : Stock exchanges Languages : en Pages : 42
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.
Author: chaofeng tang Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
This study examines the dynamic correlation and volatility spillover among the green bond, clean energy, and fossil fuel markets using daily data from 30 June 2014 to 18 October 2021. Using the Bayesian DCC-MGARCH model, we confirmed that the green bond has a weak negative correlation with the fossil fuel (WTI oil, Brent oil, natural gas, heating oil, and gasoline) and clean energy markets. Using the frequency connectedness methods, the result suggests that the green bond and clean energy are net volatility receivers from the WTI crude oil and heating oil for the short term, indicating that investors and policymakers need to pay attention to the WTI oil volatility spillover risk when promoting green bond and clean energy. The study also found that the correlation and volatility spillover from the WTI crude oil to green bond and clean energy is stronger than that of Brent oil. This implies that investors and policymakers need to consider the price movements of the WTI crude oil than the Brent oil when investing in the green bond market. Thus, this study can provide essential information for energy investors and policymakers to achieve sustainable investment.
Author: Shaen Corbet Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
We test for the existence of volatility spillovers and co-movements among energy-focused corporations during the outbreak of the COVID-19 pandemic, inclusive of the April 2020 events where West Texas Intermediate (WTI) oil future prices became negative. Employing the spillover index approach of Diebold and Yilmaz [2012]; as well as developing a DCC-FIGARCH conditional correlation framework and using estimated spillover indices built on a generalised vector autoregressive framework in which forecast-error variance decompositions are invariant to the variable ordering, we examine the sectoral transmission mechanisms of volatility shocks and contagion throughout the energy sector. Among several results, we find positive and economically meaningful spillovers from falling oil prices to both renewable energy and coal markets. However, this result is only found for the narrow portion of our sample surrounding the negative WTI event. We interpret our results being directly attributed to a sharp drop in global oil, gas and coal demand, rather than because of a sudden increase in oil supply. While investors observed the US fracking industry losing market share to coal, they also viewed renewables as a more reliable mechanism to generate long-term, stable and low-cost supply.
Author: Ramazan Gençay Publisher: Elsevier ISBN: 0080509223 Category : Business & Economics Languages : en Pages : 383
Book Description
An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series. It offers testing issues which can be performed with wavelets in conjunction with the multi-resolution analysis. The descriptive focus of the book avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric filtering methods. Examples and empirical applications will show readers the capabilities, advantages, and disadvantages of each method. - The first book to present a unified view of filtering techniques - Concentrates on exactly what wavelets analysis and filtering methods in general can reveal about a time series - Provides easy access to a wide spectrum of parametric and non-parametric filtering methods
Author: Shaen Corbet Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
We test for the existence of volatility spillovers and co-movements among energy-focused corporations during the outbreak of the COVID-19 pandemic, inclusive of the April 2020 events where West Texas Intermediate (WTI) oil future prices became negative. Employing the spillover index approach of Diebold and Yilmaz [2012]; as well as developing a DCC-FIGARCH conditional correlation framework and using estimated spillover indices built on a generalised vector autoregressive framework in which forecast-error variance decompositions are invariant to the variable ordering, we examine the sectoral transmission mechanisms of volatility shocks and contagion throughout the energy sector. Among several results, we find positive and economically meaningful spillovers from falling oil prices to both renewable energy and coal markets. However, this result is only found for the narrow portion of our sample surrounding the negative WTI event. We interpret our results being directly attributed to a sharp drop in global oil, gas and coal demand, rather than because of a sudden increase in oil supply. While investors observed the US fracking industry losing market share to coal, they also viewed renewables as more reliable mechanism to generate long-term, stable and low-cost supply.
Author: Mr.Taimur Baig Publisher: International Monetary Fund ISBN: 1451857284 Category : Business & Economics Languages : en Pages : 60
Book Description
This paper tests for evidence of contagion between the financial markets of Thailand, Malaysia, Indonesia, Korea, and the Philippines. Cross-country correlations among currencies and sovereign spreads are found to increase significantly during the crisis period, whereas the equity market correlations offer mixed evidence. A set of dummy variables using daily news is constructed to capture the impact of own-country and cross-border news on the markets. After controlling for own-country news and other fundamentals, the paper shows evidence of cross-border contagion in the currency and equity markets.
Author: Matthias Kalkuhl Publisher: Springer ISBN: 3319282018 Category : Business & Economics Languages : en Pages : 620
Book Description
This book provides fresh insights into concepts, methods and new research findings on the causes of excessive food price volatility. It also discusses the implications for food security and policy responses to mitigate excessive volatility. The approaches applied by the contributors range from on-the-ground surveys, to panel econometrics and innovative high-frequency time series analysis as well as computational economics methods. It offers policy analysts and decision-makers guidance on dealing with extreme volatility.
Author: Tadahiro Nakajima Publisher: Springer Nature ISBN: 9811629900 Category : Business & Economics Languages : en Pages : 107
Book Description
This book introduces environmental, social and governance (ESG) investment and clarifies its characteristics as financial securities. It is forecasted that companies’ ESG information will be reflected in their corporate value as much as their financial information is in the future. The special feature of this book is to reveal the characteristics and impact of ESG investment using various quantitative analyses (e.g. EGARCH, asymmetric DCC, copula, VaR, connectedness, dynamic spillover). This book focuses on the relationship between some ESG indexes and the other economic variables, particularly in light of the recent economic environment (e.g. Global Financial Crisis, COIVID-19 pandemic, crude oil price crash). Readers can grasp a larger picture of ESG investment through a survey of its history and current status, predictions of its future, and interpretation of various empirical analysis results.
Author: Peter G. Moffatt
Author: Peter G. Moffatt
Author: Fidel Farias
Author: John Beirne
Author: chaofeng tang
Author: Shaen Corbet
Author: Ramazan Gençay
Author: Shaen Corbet
Author: Mr.Taimur Baig
Author: Matthias Kalkuhl
Author: Tadahiro Nakajima