scholarly journals Volatility Spillovers in Capesize Forward Freight Agreement Markets

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Xiaoxing Gong ◽  
Jing Lu

This paper is to investigate spillovers in the Capesize forward freight agreements (FFAs) markets before and after the global financial crisis. The paper chooses four Capesize voyage routes FFAs (C3, C4, C5, and C7), two time-charter routes FFAs (BCIT/C average, BPI T/C average), and spot rates as research subjects, covering the periods 3 January 2006 to 24 December 2015. This paper applies Volatility Spillover Multivariate Stochastic Volatility (VS-MSV) model to analyze volatility spillover effects and estimates the parameters via software of Bayesian inference using Gibbs Sampling (BUGS), the deviance information criterion (DIC) used for goodness-of-fit model. The results suggest that there are volatility spillover effects in certain Capesize FFAs routes, and the effects from spot rates to FFAs take place before crisis, yet they are bilateral after crisis. With the development of shipping markets, the correlations between FFAs and spot rate are enhanced, and it seems that the effects depend on market information and traders’ behavior. So practitioners could make decisions according to the spillovers.

Economies ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
Lorna Katusiime

This study investigates the impact of commodity price volatility spillovers on financial sector stability. Specifically, the study investigates the spillover effects between oil and food price volatility and the volatility of a key macroeconomic indicator of importance to financial stability: the nominal Uganda shilling per United States dollar (UGX/USD) exchange rate. Volatility spillover is examined using the Generalized Vector Autoregressive (GVAR) approach and Multivariate Generalized Autoregressive Conditional Heteroskedasticity (MGARCH) techniques, namely the dynamic conditional correlation (DCC), constant conditional correlation (CCC), and varying conditional correlation (VCC) models. Overall, the results of both the GVAR and MGARCH techniques indicate low levels of volatility spillover and market interconnectedness except during crisis periods, at which point cross-market volatility spillovers and market interconnectedness sharply and markedly increased. Specifically, the results of the MGARCH analysis show that the DCC model produces the best results. The obtained results point to an amplification of dynamic conditional correlations during and after the global financial crisis (GFC), suggesting an increase in volatility spillovers and interdependence between these markets following the global financial crisis. This is also confirmed by the results of the total spillover index based on the GVAR analysis, which shows low but time-varying volatility spillover that intensified during periods of high uncertainty and market crises, particularly during the global financial crisis and sovereign debt crisis periods.


2016 ◽  
Vol 62 (1) ◽  
pp. 44
Author(s):  
Laura Grace Gabriella ◽  
Revathy Suryanarayana ◽  
Vania Esady

The financial integration in South East Asia has varied over time. This paper focuses on three periods: before, during, and after the global financial crisis in 2008. This paper finds that ASEAN-5 countries have indeed taken a step towards financial integration. While we do not observe any (cointegrating) long-run relationships between the ASEAN-5 countries, we find that there has been a significant increase in the volatility spillovers between them. This is particularly true in the recovery period following the global financial crisis.  AbstrakIntegrasi keuangan di Asia Tenggara telah mengalami perubahan dari waktu ke waktu. Penelitian ini berfokus pada tiga periode waktu, yaitu pada sebelum, saat, dan setelah Krisis Keuangan Global tahun 2008. Hasil penelitian ini menemukan bahwa negara ASEAN-5 memiliki kecenderungan kearah integrasi keuangan. Walaupun kami belum melihat adanya hubungan jangka panjang dari kelima negara tersebut, namun kami menemukan adanya peningkatan signifikan dari volatility spillover diantara mereka. Hal ini khususnya benar terjadi sepanjang periode pemulihan dari Krisis Keuangan Global.Kata kunci: Integrasi Keuangan; Krisis Keuangan Global; ASEAN; GARCHJEL classifications: F21; F33


2021 ◽  
Vol 12 (4) ◽  
pp. 52
Author(s):  
Tamer Bahjat Sabri

This paper seeks to shed light on investment in fixed assets before and after the financial crisis that took place in 2008 and compare the two periods together in the sectors of industry and investment in Palestine Stock Exchange. The period between 2005 – 2007 was chosen to represent to the pre-crisis time and the period between 2010 -2012 was chosen to represent the post-crisis time. The population of the study consists of fifteen organizations from both sectors. To test the hypothesis of the study, the independent samples T-test was employed.The average ratio of fixed assets to the total assets of industry and investment rose from 56.2% before the crisis to 58.5% after the crisis. As for the hypotheses of the study, the findings showed no difference except for the seventh hypothesis. There was a statically significant difference in the ratio of fixed assets to equity between the listed companies that a high return on assets and those that have a low return.


2021 ◽  
Vol 39 (2) ◽  
Author(s):  
Imran Yousaf ◽  
Shoaib Ali

This study examines the return and volatility transmission between gold and nine emerging Asian Stock Markets during the global financial crisis and the Chinese stock market crash. We use the VAR-AGARCH model to estimate return and volatility spillovers over the period from January 2000 through June 30, 2018. The results reveal the substantial return and volatility spillovers between the gold and emerging Asian stock markets during the global financial crisis and the Chinese stock market crash. However, these return and volatility transmissions vary across the pairs of stock markets and the financial crises. Besides, we analyze the optimal portfolios and hedge ratios between gold and emerging Asian stock markets during all sample periods. Our findings have important implications for effective hedging and diversification strategies, asset pricing and risk management.


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