Identifying the dynamic relationship between tanker freight rates and oil prices: In the perspective of multiscale relevance

The tanker shipping market has been treated as the key extension of the world oil market and inevitably, its uncertainty is correlated to volatility of the oil market, besides supply and demand factors. Therefore, for improving operational management and budget planning decisions, it is essential to understand the inherent relevance between freight rates and crude oil prices. Taking time-dependent features into account, this paper focuses on the multiscale correlation between freight rates and oil prices. Given the complexity and mutability of tanker freight rate process, this paper first extracts the intrinsic mode functions from the original data using the Ensemble Empirical Mode Decomposition model and then reconstructs two separate composite functions: high-frequency and low-frequency components, plus the residual as the long-term trend. Secondly, correlations of the multiscale components of freight rates and oil prices are examined based on relevance structure. Empirical results show that tanker freight rates and oil prices exhibit different multiscale properties with true economic meaning and are significantly correlated in the medium and the long term when taking the relevance structure into account. These findings offer some useful information to better understand the correlations between these two markets and more importantly, propose a novel perspective to investigate the dynamic relationship between two markets.     

Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence,information transmission and market co-movement

This paper examines the price and volatility dynamics between China and major stock markets in the Asia-Pacific, investigating the effects of the Chinese stock market crash (2015–2016) for the first time. Employing the Bayesian VAR and BEKK GARCH, we observe that price and volatility spillover behaviours are different during the stable and stress periods. Particularly, price spillovers from China to other regional markets are more significant during a bullish period, showing that ‘good news’ emanating from China has strong impacts on its neighbours during better market condition. In the turbulent period, we observe strong shock spillover effects and enhanced volatility spillovers from China to most Asia-Pacific stock markets. This is because China, as an important trading partner and strategic financial centre shows to exert significant influence on the Asia-Pacific region through various economic channels. We also find that the Asia-Pacific stock markets spill over their shocks to China during the crisis, indicating that China is becoming more integrated with the regional financial markets.     

Empirical mode decomposition–based least squares support vector regression for foreign exchange rate forecasting

To address the nonlinear and non-stationary characteristics of financial time series such as foreign exchange rates, this study proposes a hybrid forecasting model using empirical mode decomposition (EMD) and least squares support vector regression (LSSVR) for foreign exchange rate forecasting. EMD is used to decompose the dynamics of foreign exchange rate into several intrinsic mode function (IMF) components and one residual component. LSSVR is constructed to forecast these IMFs and residual value individually, and then all these forecasted values are aggregated to produce the final forecasted value for foreign exchange rates. Empirical results show that the proposed EMD-LSSVR model outperforms the EMD-ARIMA (autoregressive integrated moving average) as well as the LSSVR and ARIMA models without time series decomposition.     

Volatility Spillovers and Contagion from Mature to Emerging Stock Markets

This paper models volatility spillovers from mature to emerging stock markets, tests for changes in the transmission mechanism during turbulences in mature markets, and examines the implications for conditional correlations between mature and emerging market returns. Tri‐variate GARCH–BEKK models of returns in mature, regional emerging, and local emerging markets are estimated for 41 emerging market economies (EMEs). Wald tests suggest that mature market volatility affects conditional variances in many emerging markets. Moreover, spillover parameters change during turbulent episodes. In the majority of the sample EMEs, conditional correlations between local and mature markets increase during these episodes. While conditional variances in local markets rise as well, volatility in mature markets rises more, and this shift is the main factor behind the increase in conditional correlations. With few exceptions, conditional beta coefficients between mature and emerging markets tend to be unchanged or lower during turbulences.     

Volatility spillover and multivariate volatility impulse response analysis of GFC news events

This article applies two measures to assess spillovers across markets: the Diebold and Yilmaz’s (2012) spillover index and the Hafner and Herwartz’s (2006) analysis of multivariate GARCH models using volatility impulse response analysis. We use two sets of data, daily realized volatility (RV) estimates taken from the Oxford-Man RV library, for the S&P500 and the FTSE, plus 10 years of daily returns series for the New York Stock Exchange Index and the FTSE 100 index. Both data sets capture both the global Financial Crisis (GFC) and the subsequent European Sovereign Debt Crisis (ESDC). The spillover index captures the transmission of volatility to and from markets, plus net spillovers. The Volatility Impulse Responses (VIRF) have to be calibrated to conditional volatility estimated at a particular point in time. We explore the impact of three different shocks, the onset of the GFC, the height of the GFC, and the impact of the ESDC. Our modelling includes leverage and asymmetric effects applying a multivariate GARCH model, and further analysis using both BEKK and diagonal BEKK (DBEKK) models. We find the impact of negative shocks is larger, but shorter in duration, in this case a difference between 3 and 6 months.     

Spillover Effects of Real and Nominal Uncertainties in India

This paper examines the spillover effects and the causality between inflation, output growth and its uncertainties for India. Using monthly data for the period from April 1980 to April 2011, we estimated a bi-variate GARCH in mean with BEKK representations. This study differs from the earlier works where the parameters in the BEKK representations are estimated individually and the inferences are drawn on the basis of the individual lagged variance, covariance, and error terms from the respective equations. The empirical evidence suggests that inflation uncertainty seems to have significant negative impact on output growth and positive impact on output uncertainty and there is a positive influence of output uncertainty on the inflation. More importantly, there are spillovers and volatility transmission effects between the macroeconomic uncertainties where the volatility in output growth is significantly influenced by the shocks and volatility in inflation.

     

中国银行间同业拆借市场信息国际化的检验

本文运用EGARCH模型，检验伦敦银行间同业拆借市场和中国银行间同业拆借市场之间拆借利率波动溢出的流星雨假定。结果表明，来自伦敦银行间同业拆借市场的流星雨对中国银行间同业拆借市场利率波动具有显著性影响。     

Financial illness and political virus: the case of contagious crises in the Eurozone

Abstract

This paper investigates the volatility spillover effects from the southern to northern part of the Eurozone during the sovereign debt crisis. Focusing on different phases of the crises, we propose using the dynamic conditional correlation model and the BEKK model to identify possible linkages during the period of 2005–2015. The findings showed that both models behave satisfactorily and are flexible in presenting spillover effects. However, regarding conditional correlations, the asymmetric dynamic conditional correlation model seems to fit better. Additionally, Spain and Italy can significantly damage all strong northern economies, while Greece’s negative shocks are capable of co-moving the French index. Finally, France is the most correlated country within the southern Eurozone.     

Financial contagion and volatility spillover: An exploration into Indian commodity derivative market

This study measures the extent of financial contagion in the Indian asset markets. In specific it shows the contagion in Indian commodity derivative market vis-à-vis bond, foreign exchange, gold, and stock markets. Subsequently, directional volatility spillover among these asset markets, have been examined. Applying DCC-MGARCH method on daily return of commodity future price index and other asset markets for the period 2006–16, time varying correlation between commodity and other assets are estimated. The degree of financial contagion in commodity derivative market is found to be the largest with stock market and least with the gold market. A generalized VAR based volatility spillover estimation shows that commodity and stock markets are net transmitters of volatility while bond, foreign exchange and gold markets are the net receivers of volatility. Volatility is transmitted to commodity market only from the stock market. Such volatility spillover is found to have time varying nature, showing higher volatility spillover during the Global Financial Crisis and during the period of large rupee depreciation in 2013–14. These results have significant implication for optimal portfolio choice.     

Has the Asian crisis changed the role of foreign investors in emerging equity markets: Taiwan's experience

This paper examines whether the 1997 Asian crisis changed the trading behaviors of foreign investors and of local institutional investors in Taiwan's stock market. There is little evidence that the Asian crisis changed the relationship between equity flows and market returns in Taiwan's stock market but there is evidence that volatility effects and volatility spillover were strengthened after the crisis. The general findings are (i) feedback trading arguments are much stronger than information arguments; (ii) relationships between returns and sale changes are the weakest but volatility effects using sale measures are the strongest; (iii) strong volatility effects and volatility spillover are found after the crisis; and (iv) the results for domestic institutional investors are slightly stronger than those for foreign investors.     

中美股市杠杆效应与波动溢出效应——基于GARCH模型的实证分析

本文基于极大似然函数值准则和赤池信息准则,从众多非对称GARCH模型中选择最优模型来研究中美股市杠杆效应和波动溢出效应。结果表明:沪市和深市都表现出显著的杠杆效应,与美国股市相比沪市和深市杠杆效应较弱;沪市和深市之间存在显著的双向波动溢出效应,且沪市对深市的波动溢出效应更显著;美国股市与中国股市之间不存在显著的波动溢出效应。     

人民币即期汇率与NDF汇率关系的实证分析

以人民币即期汇率与NDF汇率为例研究境内市场与境外市场的信息传递。主要利用GARCH模型描述人民币即期汇率与NDF的变动并检验人民币即期汇率与NDF之间的均值溢出效应和波动溢出效应。得到的主要结论为,人民币NDF市场对人民币即期汇率市场有均值溢出效应,人民币即期汇率和NDF之间有双向波动溢出效应。这表明信息流由境外市场传导至境内市场,人民币即期汇率市场受到境外市场因素的影响,境外人民币NDF市场是境内即期市场的先导。     

基金投资行为与股票市场稳定性研究——基于VAR模型和MGARCH模型的实证分析

笔者基于VAR模型和MGARCH模型,利用总量数据,对基金投资活动与我国股票市场波动性及其溢出效应进行实证研究。研究结果发现:基金的投资活动与股票市场波动之间存在双向影响机制,基金投资活动已开始对股票市场的波动形成影响,但基金没能起到稳定市场的作用;从波动溢出效应看,基金投资活动与股票市场波动存在双向的波动溢出效应,但溢出效应较小。     

碳排放权交易市场的信息流动关系——基于EUA市场和CER市场的实证研究

基于Granger因果关系检验方法和MGARCH-BEKK模型,从报酬溢出和波动溢出的角度,研究国际碳排放权交易市场中的主要商品———EUAs和sCERs各自的期货价格与现货价格之间以及两者的期货价格之间的信息流动关系。结果表明:两个市场的现货市场始终都处于价格信息中心,期货市场的价格发现功能较弱甚至未体现;信息波动溢出方面,EUA市场中期货市场处于波动信息中心,而CER市场中现货市场处于波动信息中心;EUA的期货市场与CER的期货市场之间存在相互的价格溢出效应与波动溢出效应,但EUA市场的期货价格对CER市场具有更大的波动溢出效应。     

Seasonality patterns in tanker spot freight rate markets

The aim of this paper is to investigate the existence and nature of seasonality (deterministic or stochastic) in tanker freight markets and measure and compare it across sub-sectors and under different market conditions (expansionary and contractionary) for the period January 1978 to December 1996. The existence of stochastic seasonality is rejected for all freight series while results on deterministic seasonality indicate increases in rates in November and December and decreases in rates from January to April. Seasonality is found to be varying across markets depending on vessel size and market condition. Seasonality comparisons under different market conditions, an issue investigated for the first time in the econometrics literature using Markov Switching models, reveal that seasonal rate movements are more pronounced when the market is recovering compared to smaller changes when the market is falling. This is well in line with the low and high elasticity of supply expected in expansionary and contractionary periods of shipping markets. The results have implications for tactical shipping operations such as budget planning, timing of dry-docking, vessel speed adjustments and repositioning. As expected, the out-of-sample forecasting performance of these Markov Regime Switching models is lacking somewhat, a result which is thought to be a consequence of having to predict ‘states’ simultaneously with mean values.     

A study of the relationships between the time charter and spot freight rates

A time charter contract is a shipping contract that allows for freight rate risk avoidance and hedging. Defining the relationship between time charter and spot freight rates will illuminate the fluctuation mechanism of the spot freight market. In this article, three types of dry bulk ships – Capsize, Panamax and Supramax – are chosen to investigate the relationship between time charter and spot freight rates and to analyse the price discovery function of time charter contracts. A vector error correction model is developed, and an impulse response function is used to analyse the influence of time charter rates on spot freight rates. Empirical studies indicate that there are two-way lead–lag relationships between the time charter and spot freight rates and that a time charter contract has a price discovery function. Smaller ship sizes and longer durations lead to a stronger price discovery function.     

Co-movement and spillovers: empirical evidence from BRIC equity markets

A higher degree of co-movement and spillover effects among different asset classes undermine portfolio diversification benefits. In this regard, the present study attempts to capture dynamic co-movement and return-volatility spillover effects among the most promising emerging equity markets, i.e. Brazil, Russia, India and China in a multivariate framework by employing VAR-ABEKK and VAR-DCC-AGARCH (1,1) models. To further comprehend the behaviour of the correlation coefficients during the global financial crisis period (2007–2009), heat map and Markov regime switching model (two regimes with a switch at ‘mean’ level only) have been used. The results report that the BRIC equity markets do not share a common stochastic trend in the long run. There is strong evidence of market shocks to volatility, volatility to volatility and negative shocks to volatility spillover effects among the BRIC markets. Overall, the BRIC markets are partially integrated with each other, thereby making them stronger investment candidates.     

Shall One Sit “Longer” for a Free Lunch? Impact of Trading Durations on the Realized Variances and Volatility Spillovers

This study examines the effect of trading durations on the realized variance of rupee futures traded in national stock exchange (NSE), India and Dubai Gold & Commodities Exchange (DGCX), Dubai as there exists a difference in the trading durations at these exchanges, where DGCX has longer trading duration. The empirical results suggest that longer trading duration has significantly higher realized variance, and also non-trading durations at NSE account for higher overall realized variance of Rupee Futures. We model the impact of trading durations on intraday and overnight realized variance for rupee futures and estimate a reduced realized volatility of 40–70 bps due to shorter trading duration. We find that non-trading durations at National Stock Exchange account for 60–70% of the overall realized variance of rupee futures. Using MGARCH model with BEKK parameterization, we find evidence of bidirectional volatility spillover from Offshore to Onshore Rupee markets.

     

人民币在岸市场已经是一个 非完全定价中心*

本文的研究结果表明在岸市场依然具有人民币汇率定价中心的性质,主要体现在在岸即期和远期汇率都会对离岸远期汇率的变动有显著的均值溢出效应。而离岸即期市场对在岸即期市场存在较小幅度的均值溢出效应以及三大市场之间已经存在着一定波动和冲击溢出效应,则表明在岸市场已经不是一个完全定价中心。从溢出效应的程度和传递方向来看,稳定在岸人民币汇率定价预期仍然是降低汇率过度波动的关键。