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.     

Stochastic bequest games

In this paper, we prove the existence of a stationary Markov perfect equilibrium for a stochastic version of the bequest game. A novel feature in our approach is the fact that the transition probability need not be non-atomic and therefore, the deterministic production function is not excluded from consideration. Moreover, in addition to the common expected utility we also deal with a utility that takes into account an attitude of the generation towards risk.     

Evidence of the duration-dependence from the stock markets in the Pacific Rim economies

This article investigates the duration-dependent feature of five Pacific Rim economies. The duration-dependent Markov Switching model is employed to achieve this objective. The Savage–Dickey density ratio is also computed in support of the duration-dependent Markov switching model. The possible bull and bear market dates for each stock market are also identified by the posterior probability from the empirical model. It is unambiguous that Japan, South Korea and Hong Kong are all characterized by duration-dependence in a bear market but no duration-dependence in a bull market. In the case of Taiwan and Singapore, the duration-dependence feature holds for both the bear and bull markets.     

基于BP滤波的BDI周期性问题研究

国际干散货运输是开展海上贸易的主要运输方式。多年的实践证明国际干散货航运市场是一个具有明显周期性的产业,世界政治事件、经济波动、自然因素的周期性波动等都会影响国际干散货航运市场的行情,增加航运企业的经营风险。由于国际干散货运输市场具有一定的自我调节能力,即当运力超过运量时,运价下跌,导致运力减少,使运价上升,并趋于稳定。波罗的海运价指数（BDI）运价指数是根据严格、明确以及航运市场的规则计算出来,能够反映出全球干散货航运市场的运价水平,成为国际干散货航运市场发展和变化的＂晴雨表＂。目前国际上许多著名航运机构都对干散货航运市场周期性研究主要着眼于航运市场的定性分析以及统计资料的收集,采用定量模型来研究该问题则较为少见。本研究运用BP滤波实现趋势和循环要素的分离,获得国际干散货运输市场周期成分。研究表明,国际干散货运输市场中存在比较明显的长周期和短周期互现的态势。     

Modelling the trend and seasonality in the consumption of alcoholic beverages in the United Kingdom

A univariate time series analysis of the consumption of beer, wine and spirits in the UK over the period 1964–1995 is presented. The analysis shows that the consumption of beer and wine exhibits stochastic seasonality while the consumption of spirits exhibits deterministic seasonality. Moreover, the three series are found to have stochastic trends. Analysis of the out-of-sample forecasting power of the various models reveals that the model with stochastic trend and seasonality is superior to other models. The results cast doubt on the validity and soundness of the practice of modelling the consumption of alcoholic beverages by assuming deterministic trend and seasonality.     

The January effect in the foreign exchange market: Evidence for seasonal equity carry trades

In this study, we investigate monthly seasonality in the foreign exchange market. Given the well-known recurrent higher returns in some month than in others in stock markets around the world, we consider it likely that a seasonal outperformance of a country’s stock market over another is associated with similar seasonal patterns in capital flows and exchange rates. A seasonal profit (carry trade) opportunity can be created by the simultaneous appreciation of a country’s currency and the outperformance of its stock market. By focusing on the world’s key currency pairs, the US dollar-Deutsche mark and the US dollar-euro, and by using a Markov-switching framework, we document persistent January and December effects in the foreign exchange market from 1971 to 2017. Analysis of the German-US stock returns differential and their bilateral capital flows reveal similar month effects in 65% of the whole sample.     

基于MS-VECM模型的我国货币政策非对称研究与启示

通过建立马尔可夫区制转移误差修正模型（MS-VECM）模拟我国货币政策对经济的非对称影响,以此分析我国货币政策的有效性。根据经济波动幅度,将我国经济划分为高波动和低波动两个区制状态,经济增长波动剧烈的区制下向均衡状态调整速度快于经济波动幅度较低区制下的调整,论证了我国货币政策对经济的影响在不同区制下存在非对称性。并用模型对我国经济状况进行了模拟预测,利用这种非线性的模型能够很好地预测货币与产出增长关系,表明现阶段我国经济运行状态是一低波动区制下的正常回落,目前不宜出台强扩张性的货币政策刺激经济增长。     

Bargaining with asymmetric information in non-stationary markets

Summary. The Rubinstein and Wolinsky bargaining-in-markets framework is modified by the introduction of asymmetric information and non-stationarity. Non-stationarity is introduced in the form of an arbitrary stochastic Markov process which captures the dynamics of market entry and pairwise matching. A new technique is used for establishing existence and characterizing the unique outcome of a non-stationary market equilibrium. The impact of market supply and demand on bilateral bargaining outcomes and matching probabilities is explored. The results are useful for examining such questions as why coordination failures and macroeconomic output fluctuations are correlated with real and monetary shocks. Received: July 22, 1994; revised version: January 21, 1998     

Extracting portfolio management strategies from volatility transmission models in regime-changing environments: Evidence from GCC and global markets

Unlike previous studies, this paper uses the Multi-Chain Markov Switching model (MCMS) to examine portfolio management strategies based on volatility transmission between six domestic stock markets of Gulf Arab states (GCC) and global markets (i.e., the U.S. S&P 500 index and oil prices) and compares the results with those of the VAR model. Our volatility approach is range-based and not return-based which is traditionally used in estimating the optimal hedge ratios and portfolio weights. The results demonstrate the relative hedging effectiveness of the MCMS model compared to the VAR. We also highlight the time and regime dependency of the optimal hedge ratios and the portfolio weights for each selected pair of the considered markets conditional on the regime of the same market and the regimes of the other market. Policy implications on portfolio strategies under different states are also discussed.     

FINANCIAL CRISES AND INTERNATIONAL STOCK MARKET VOLATILITY TRANSMISSION

This paper examines the interplay between stock market returns and their volatility, focusing on the Asian and global financial crises of 1997–98 and 2008–09 for Australia, Singapore, the UK, and the US. We use a multivariate generalised autoregressive conditional heteroskedasticity (MGARCH) model and weekly data (January 1992–June 2009). Based on the results obtained from the mean return equations, we could not find any significant impact on returns arising from the Asian crisis and more recent global financial crises across these four markets. However, both crises significantly increased the stock return volatilities across all of the four markets. Not surprisingly, it is also found that the US stock market is the most crucial market impacting on the volatilities of smaller economies such as Australia. Our results provide evidence of own and cross ARCH and GARCH effects among all four markets, suggesting the existence of significant volatility and cross volatility spillovers across all four markets. A high degree of time‐varying co‐volatility among these markets indicates that investors will be highly unlikely to benefit from diversifying their financial portfolio by acquiring stocks within these four countries only.     

The Dynamics of Trustworthiness Among the Few

Conventional stochastic models of evolutionary processes with infinitely many agents are deterministic models in disguise. Only finite population models become truly stochastic. Therefore this paper focuses on an indirect evolutionary model of pair wise interaction in a pool of three (corresponding to analysing oligopolies in terms of duopoly markets). The outcomes of the process over the long haul are characterized by the stationary distribution of the underlying Markov process. Our example indicates that intermediate cases cannot be seen as convex combinations of the two polar non-stochastic cases of two or infinitely many individuals.
JEL Classification Numbers: C72, C73.     

Randomized double auctions: gains from trade,trader roles,and price discovery

Experimental double-auction commodity markets are known to exhibit robust convergence to competitive equilibria under stable or cyclical supply and demand conditions, but little is known about their performance in truly random environments. We provide a comprehensive study of double auctions in a stochastic setting where the equilibrium prices, trading volumes and gains from trade are highly variable across periods, and with commodity traders who may buy or sell their goods depending on market conditions and their individual outcomes. We find that performance in this stochastic environment is sensitive to underlying market conditions. Efficiency is higher and convergence to the competitive equilibrium stronger when the potential gains from trade are high and when the equilibrium spans a wide range of quantities, implying a large number of marginal trades. Speculative re-trading is prevalent, especially among those who have little to gain under equilibrium pricing. Those with the largest expected gains typically earn far less than predicted, while those with little or no predicted earnings gain modestly from speculation, leading to some redistribution of gains from high to low expected earners. Excessive trading volumes are associated with negative efficiencies in markets with low gains from trade, but not in the high-gains markets, where zero-sum trading and re-trading appear to enforce efficiency and near-equilibrium pricing. Buyers earn more relative to their competitive equilibrium benchmark than sellers do. Introducing trader specialization leads to fewer trading errors and higher market efficiency, but it does not eliminate zero-sum trading and re-trading.

     

Time-varying threshold cointegration and the law of one price

A theoretical model of the law of one price which allows for seasonality in transaction costs and supply and demand conditions between markets is developed. Bivariate three-regime threshold vector error correction models are applied to natural gas markets to examine seasonality in threshold levels. Results indicate that there are nonlinear adjustments to the law of one price in seven pair-wise markets (Chicago is used as the base market). In the natural gas sector, dynamic threshold effects relative to the Chicago market vary depending on season, geographical location and whether the market is an excess producing or consuming market.     

COMMON STOCHASTIC TRENDS AMONG THE CYPRUS STOCK EXCHANGE AND THE ASE,LSE AND NYSE

Common stochastic trends among major international stock price indices have been an intensively analysed issue mainly as a result of the 1987 stock market crash and the need for policy coordination in financial markets. This paper investigates the existence of common stochastic trends among an emerging equity market, the Cyprus Stock Exchange, and three mature equity markets, namely the Athens Stock Exchange (ASE), the London Stock Exchange (LSE) and the New York Stock Exchange (NYSE).     

Accuracy of forward freight agreements in forecasting future freight rates

Participants in the maritime industry place much interest in the Forward Freight Agreements (FFA/FFAs), being an indispensable tool for hedging shipping freight risk. Our article innovates by directly comparing the FFA predictions with their actual future settlement prices as well as by examining contracts going forward as far as next calendar year. We combine straightforward comparison measurements with cointegration analysis to test for the accuracy and efficiency of the FFA projections. We find that FFAs display limited usefulness in predicting future freights, only slightly superior than simple naïve models. The shorter the contract period and the smaller the vessel the better the forecast. We also find FFAs being relatively good predictors of future market direction but missing the turning points of the market cycles.     

Assessing downside and upside risk spillovers across conventional and socially responsible stock markets

Since the aftermath of the recent global financial crisis, socially responsible (SR) investments have become an alternative form of conventional finance, giving rise to further systemic risk between conventional and SR stock markets. In this paper, we assess this risk transmission using Value at Risk (VaR) modeling for the US, Europe and the Asia-Pacific region, over the period covering January 2004–December 2016. We find that socially responsible stock markets exhibit less risk than do conventional markets in terms of the risk hedging properties induced by the SR screening. Second, contributions to systemic risk vary across market phases and return distribution levels, with a larger contribution and spillover effect during the recent global financial crisis. For example, at the downside of the distribution (CoVaR at 5%), the conventional European index shows the highest contribution to the world market’s systemic risk, while the US stock market shows the highest contribution at the upside of the distribution (CoVaR at 95%). This finding is justified by the difference in the risk aversion of investors that varies with the market state as well as the disparities in the development of SR markets.     

Financial cycles and fiscal multipliers

We show that fiscal multiplier estimations may be biased by movements in asset and credit markets, as they facilitate spurious correlations of changes in cyclically adjusted revenues and spending with output growth via an identification bias and an omitted variable bias, thus overstating episodes of expansionary consolidations and downplaying contractionary consolidations. When controlling for asset and credit market movements in otherwise standard approaches to identification, we find multipliers to increase on average by 0.3–1 units. Fiscal consolidations are thus more likely to be contractionary and more harmful to growth than expected by some strands of the existing literature.     

Cointegration networks in stock markets

We use a novel approach based on a combination of network and cointegration analysis to examine linkages between stock markets across market cycles. Our results show that long-run linkages are likely to be global rather than regional and that market turbulence increases linkages. However, we find no widespread common stochastic trends between markets and neither are we able to draw a conclusion that major financial markets display influences network linkages.     

Consumption loans under uncertainty

A stationary equilibrium for a sequence of markets under uncertainty is defined as a stationary stochastic process of temporary market equilibria. The purpose of this paper is to apply this equilibrium concept to a consumption-loans model with stochastic resources. Given that agents live for only two periods, that resources are allocated independently and identically, and that traders make “admissible” consumption decisions, it is shown that the sequence of equilibrium trades on forward markets is a Markov chain. When this chain is strictly stationary with a unique invariant distribution, the sequence of markets is in stationary equilibrium. Using Gale's classification scheme, a strictly stationary chain exists for each type of economy (classical, Samuelson, mixed). Questions concerning convergence to the invariant distribution for each type of economy are addressed by determining when the chain satisfies various recurrence conditions.     

Return seasonality in the foreign exchange market

I examine return seasonality in the foreign exchange market using currency futures during the period 1973?2015. All the G10 currency futures yield negative returns in January and this effect happens more often in the countries that have a tax year ending in December. In contrast, returns offered in April are positive. To exploit these anomalies, I use a seasonality strategy that selects portfolios based on their historical same-calendar-month returns. I find that this strategy does not work in the currency market, although I find consistent results with Keloharju et al. in the stock portfolios.