scholarly journals Contagion in Futures FOREX Markets for the Post- Global Financial Crisis: A Multivariate FIGARCHcDCC Approach

2020 ◽  
Vol 4 (1) ◽  
pp. 1-1 ◽  
Author(s):  
Konstantinos Tsiaras

This paper seeks to investigate the time-varying conditional correlations to the futures FOREX market returns. We employ a dynamic conditional correlation (DCC) Generalized ARCH (GARCH) model to find potential contagion effects among the markets. The under investigation period is 2014-2019. We focus on four major futures FOREX markets namely JPY/USD, KRW/USD, EUR/USD and INR/USD. The empirical results show an increase in conditional correlation or contagion for all the pairsof future FOREX markets. Based on the dynamic conditional correlations, KRW/USD seems to be the safest futures FOREX market. The results are of interest to policymakers who provide regulations for the futures FOREX markets. JEL Classification Codes: C58, C61, G11, G15

2020 ◽  
Vol 17 (2) ◽  
pp. 67-88
Author(s):  
Konstantinos Tsiaras

This paper examines the time-varying conditional correlations between the Eurodollar futures market and the zero coupons of Banca Fideuram. We apply a bivariate dynamic conditional correlation (DCC) GARCH model in order to capture potential contagion effects between the markets for the period 2005-2017. Empirical results reveal contagion during the under-investigation period regarding the twenty-one bivariate models, showing that the Eurodollar futures market has a major impact on the zero coupons of Banca Fideuram. Findings have crucial implications for policymakers who provide regulations for the above-mentioned derivative markets.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Halit Cinarka ◽  
Mehmet Atilla Uysal ◽  
Atilla Cifter ◽  
Elif Yelda Niksarlioglu ◽  
Aslı Çarkoğlu

AbstractThis study aims to evaluate the monitoring and predictive value of web-based symptoms (fever, cough, dyspnea) searches for COVID-19 spread. Daily search interests from Turkey, Italy, Spain, France, and the United Kingdom were obtained from Google Trends (GT) between January 1, 2020, and August 31, 2020. In addition to conventional correlational models, we studied the time-varying correlation between GT search and new case reports; we used dynamic conditional correlation (DCC) and sliding windows correlation models. We found time-varying correlations between pulmonary symptoms on GT and new cases to be significant. The DCC model proved more powerful than the sliding windows correlation model. This model also provided better at time-varying correlations (r ≥ 0.90) during the first wave of the pandemic. We used a root means square error (RMSE) approach to attain symptom-specific shift days and showed that pulmonary symptom searches on GT should be shifted separately. Web-based search interest for pulmonary symptoms of COVID-19 is a reliable predictor of later reported cases for the first wave of the COVID-19 pandemic. Illness-specific symptom search interest on GT can be used to alert the healthcare system to prepare and allocate resources needed ahead of time.


2017 ◽  
Vol 13 (1-2) ◽  
pp. 52-69
Author(s):  
Gagan Deep Sharma ◽  
Mrinalini Srivastava ◽  
Mansi Jain

This article examines the relationship between six macroeconomic variables and stock market returns of 13 emerging markets from Latin America, Europe, Africa and Asia in the context of global financial crisis of 2008. The findings reveal some commonality in determination and variation of returns with macroeconomic variables from pre-crisis (1st January 2005–31st March 2009) to post-crisis period (1st April 2009–31st March 2016). Further, results show co-integration among most of the macroeconomic variables depicting significant implications for investors and policymakers.


2019 ◽  
Vol 52 (2) ◽  
pp. 191-212
Author(s):  
Christian Kalhoefer ◽  
Guenter Lang

Abstract Governments worldwide reacted swiftly to the global financial crisis by tougher regulations. This paper investigates the impacts of the regulatory environment on operating costs using panel data of 2,200 German banks over the timeframe from 1999 to 2014. We estimate cost functions with and without proxies for regulation and analyze the results with respect to period, bank size, and group affiliation. Our results show that regulatory costs were peaking in 2001, 2008, and lately since 2012. Most interesting, however, is the asymmetry of regulation: Whereas the cost effects were symmetric for all banks until 2003, the last ten years were different. Larger institutions and savings banks could neutralize the impacts of increasing regulation on operating costs. In contrast, smaller banks, especially if they are cooperative banks, were facing significant cost increases. We therefore expect unintended structural shifts like a reduction in the diversity of banks, which are negative for competition, service quality, and for the stability of the financial system. Zusammenfassung Weltweit wurde als Folge der globalen Finanzkrise die Regulierung des Finanzsektors verschärft. Dieser Beitrag geht der Frage nach, welche Konsequenzen diese Regulierungsmaßnahmen für die operativen Kosten im Bankengeschäft haben. Auf der Basis von Paneldaten von 2,200 in Deutschland aktiven Banken über den Zeitraum von 1999 bis 2014 schätzen wir Kostenfunktionen mit und ohne Proxies für Regulierung und werten die Ergebnisse nach Beobachtungsjahr, Bankengröße, und Gruppenzugehörigkeit aus. Unsere Ergebnisse zeigen Kostenspitzen in den Jahren 2001, 2008, und zuletzt seit 2012. Am interessantesten sind jedoch die asymmetrischen Effekte der Bankenregulierung: Während unsere Modelle bis einschließlich 2003 nahezu gleichmäßige Kostenbelastungen anzeigen, änderte sich dies deutlich mit dem Jahr 2004. Im Gegensatz zu großen Institute und Sparkassen, die die Regulierungskosten nahezu neutralisieren konnten, sahen sich kleine Institute und Genossenschaftsbanken mit deutlichen Kostensteigerungen konfrontiert. Als Folge dieser asymmetrischen Kostenwirkungen staatlicher Bankenregulierung erwarten wir unbeabsichtigte Strukturveränderungen wie z.B. Konzentrationsprozesse, die sich negativ auf Wettbewerb, Dienstleistungsqualität, und letztendlich auch negativ auf die Stabilität des gesamten Finanzsystems auswirken werden. JEL Classification: G21, G38


2017 ◽  
Vol 16 (1) ◽  
pp. 90-113 ◽  
Author(s):  
Emenike Kalu O.

This article investigates weak-form efficiency of the Nigerian Stock Exchange (NSE) and its sectors for the post-global financial crisis period using autocorrelation test, Ljung–Box Q test, McLeod-Li portmanteau test and ARCH-LM test. The descriptive statistics show that the returns of NSE and its sectors are positive. The results show that (i) investors can only predict banking sector return using superior fundamental analysis of their intrinsic values; (ii) prediction of the NSE 30 and Shari’ah equities sector returns require nonlinear model and fundamental analysis and (iii) consumer goods sector and oil and gas sector may be predicted using both technical and fundamental analyses. JEL Classification: G11, 14


2015 ◽  
Vol 73 (5) ◽  
Author(s):  
Annie Wong Ping Eng ◽  
Janice YM Lee ◽  
Muhammad Najib Mohamed Razali ◽  
Mat Naim Abdullah @ Mohd Asmoni ◽  
Izran Sarrazin Mohammad

Real estate divestitures and acquisitions (D&A) are conducted as part of corporate restructuring. This study aims to fill the knowledge gap on abnormal stock market returns (AR) toward D&A activities during the Global Financial Crisis (GFC) in a developing country. Malaysian listed non-real estate companies that conducted D&A during the GFC are used as sample. Event study is applied to determine AR surrounding D&A announcements within (-10day, +10day) event window. Results for both D&A announcements shows insignificant AR on and around announcement date (-1 to +1). For pre-announcement, divesting (acquiring) companies obtain negative (positive) AR, signifying that the market does not favor (favor) divestitures (acquisitions) due to leakage of information. The outcome of post-announcement proves that divesting companies continue to experience negative ARs, although most divesting companies were paid premium prices. However, acquiring companies experience significant and negative post-announcement AR. This is probably due to the price premium which most acquiring companies paid exceeding valuation for their acquisitions. In summary, the market disapproves divestitures in general and acquisitions of real estate assets exceeding their valuations during economic recessions.  


2019 ◽  
Vol 20 (4) ◽  
pp. 962-980 ◽  
Author(s):  
Shegorika Rajwani ◽  
Dilip Kumar

During the past few years, many of the financial markets have gone through devastating effects due to the crisis in one or the other economy of the world. The recent global financial crisis has triggered dramatic movements in various stock markets which may arise from interdependence or contagion between the markets. This article attempts to measure the contagion between the equity markets of Asia and the US stock market. The countries considered in the Asian group are China, India, Indonesia, South Korea, Taiwan, Hong Kong, Malaysia and Japan. Most of the Asian economies have experienced drastic higher volatility and uncertainty in the financial markets. If the markets are contagious, then the investors will be unable to reap benefits through international diversification of the portfolio. In such a case, the policymakers will further frame policies so that they can insulate themselves from inflicting heavy damage from various crises. To achieve our goal, we make use of the time-varying copula approach which helps us to study the joint behaviour of the series based on their marginal distribution. Time-varying copula approach can also capture the non-linear dependence in the series and exhibits a rich pattern of tail behaviour. Our findings support the contagion between the Asian stock markets and the US stock market during the global financial crisis. This article also highlights that the increased tail dependence is an important factor for the contagion between the Asian stock markets and the US market.


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