Extreme risk spillovers between crude palm oil prices and exchange rates

This study is the first attempt to examine the extreme risk spillovers between Malaysian crude palm oil (CPO) and foreign exchange currencies of the three largest CPO importers: India, the European Union and China throughout the global financial crisis. Using daily data of three currencies, CPO spot and futures from 2000 to 2018, our results show: First, before the crisis, the unexpected change in foreign exchange rates is the primary driver of risk spillover to the CPO market. Second, during the crisis, the extreme movement of CPO spot returns is dominant in the Malaysian exchange rates relative to the euro. Third, after the crisis, the spillover flows from the CPO market to the foreign exchange market. Overall, our findings show the importance of CPO pricing dynamics in mitigating foreign exchange risk over the crisis period. This paper contributes to the extant literature by recognizing the effect of risk spillover on the targeted foreign exchange rate for portfolio allocation.     

Implied volatility term structure and exchange rate predictability

This paper provides empirical evidence of the predictive power of the currency implied volatility term structure (IVTS) for the behavior of the exchange rate from both cross-sectional and time series perspectives. Intriguingly, the direction of the prediction is not the same for developed and emerging markets. For developed markets, a high slope means low future returns, while for emerging markets it means high future returns. We analyze predictability from a cross-sectional perspective by building portfolios based on the slope of the term structure, and thus present a new currency trading strategy. For developed (emerging) currencies, we buy (sell) the two currencies with the lowest slopes and sell (buy) the two with the highest slopes. The proposed strategy performs better than common currency strategies – carry trade, risk reversal, and volatility risk premium (VRP) – based on the Sharpe ratio, considering only currency returns, which supports the exchange rate predictability of the IVTS from a cross-sectional perspective.     

虚拟货币对现实金融影响的分析

随着互联网应用的快速发展,虚拟货币逐步走入人们的日常生活,它在网络金融交易中扮演着重要的角色,同时对现实的金融市场形成了不小的冲击。文章从虚拟货币的特点出发,分析了我国虚拟货币对现实金融的影响,并对虚拟货币的管制提出了若干建议。     

Noise trading and autocorrelation interactions in the foreign exchange market: Evidence from developed and emerging economies

This paper seeks to empirically determine whether feedback trading strategies result in stabilization or destabilization in the foreign exchange market and if such strategies are a distinctive characteristic of an emerging economy or they are a common element to both developed and emerging economies. These hypotheses are tested via the use of a feedback model augmented with a generalized autoregressive conditional heteroskedasticity (GARCH) process for modeling the errors. The results suggest presence of both positive and negative feedback trading and asymmetric behavior in both types of economies. Irrespective of the nature of feedback trading, presence of asymmetric behavior implies that market traders rely on central banks to intervene so they can realize short-term profits. Finally, in cases of a positive first-order autoregressive parameter presence of the bandwagon effect is implied, whereby past currency movements are followed by expectations of currency movements in the same direction.

Exchange rate pass-through at the individual product level: Implications for financial market integration

Global and regional integration of financial markets with enhanced international monetary transactions between economic agents increases the exchange rate risk. As this obstacle is growing at speed, market integration should be developed with a view to avoid this risk. In this study, we investigate exchange rate pass-through (ERPT) to examine who takes this risk. Specifically, we estimate the degree of ERPT for individual products by using primary auction price data of used/second-hand construction machinery purchased in Japan and then exported to Thailand for resale. Our empirical analysis of these data at the individual product level enables us to avoid bias in estimating ERPT caused by the use of aggregated data. We find that ERPT is asymmetric and changes in exchange rates are reflected in baht-denominated resale prices only when the baht appreciates against the yen. This indicates that raising resale prices in the destination market is more difficult for the exporters than lowering them, meaning that they can suffer significantly from the exchange rate risk. This paper serves as a reference for a safer financial market by learning how market players are influenced by the exchange rate in a trade market with a unique dataset.     

How useful is an Asian Currency Unit (ACU) index for surveillance in East Asia?

An Asian Currency Unit (ACU) index is constructed using an alternative procedure which minimizes a basket or portfolio of assets expressed in terms of national currencies. Using this estimated ACU index and an ACU deviation indicator, the main finding of this study based on the current trajectory of East Asian currencies relative to this regional ACU benchmark is that there is a formation of two contrasting groups of countries in the region—one group of strong currencies and one group of weak currencies. We emphasize that this contrasting trajectory in East Asian intra-regional exchange rates implies disturbed competitive trading relationships in the region, which may result in wasteful beggar-thy-neighbor policies. As emphasized in other recent studies (e.g., Kawai and Takagi, 2012), the region needs a framework for exchange rate policy coordination that will promote intra-regional exchange rate stability. We suggest two important ways in which the region can capitalize on using an ACU index for surveillance purposes in the immediate term. One way is to assess “over- and undervaluation” of individual currencies from the regional ACU average. The other is to use it as a monitoring device for excessive flows of international capital within the region.     

我国债券市场流动性的现状及对策浅识

债券市场是金融市场的重要组成部分,债券流动性作为具有能够迅速低市场成本交易的能力,是债券市场发展必不可少的条件。近年来我国债券市场发展迅速,但由于交易平台、交易制度、交易品种和投资者结构等方面的原因,导致我国债券市场的流动性发展缓慢。本文通过对债券市场流动性现状的分析,找出债券市场流动性缺失的原因,并结合我国的实际情况提出相应的策略。     

Foreign equity flows: Boon or bane to the liquidity of Malaysian stock market?

This paper examines the impact of gross foreign equity inflows on aggregate liquidity of the Malaysian stock market using newly assembled foreign trading data and the best performing bid-ask spread proxy. Employing vector autoregression, we discover a one-way causality from gross inflows to aggregate liquidity, and foreign investors erode liquidity of the Malaysian stock market. Additional analyses reveal that uncertainties in the U.S. markets negatively affect aggregate liquidity through the flows of foreign institutions, whose positive feedback trading destabilizes the local bourse. Despite the shocks, there is sufficient liquidity provision from local state-backed institutional funds and local proprietary day traders.     

Noise Trading and the Management of Operational Risk; Firms,Traders and Irrationality in Financial Markets*

abstract Efficient market models cannot explain the high level of trading in financial markets in terms of asset portfolio adjustment. It is presumed that much of this excessive trading is irrational ‘noise’ trading. A corollary is that there must either be irrational traders in the market or rational traders with irrational aberrations. The paper reviews the various attempts to explain noise trading in the finance literature, concluding that the persistence of irrationality is not well explained. Data from a study of 118 traders in four large investment banks are presented to advance reasons why traders might seek to trade more frequently than financial models predict. The argument is advanced that trades do not simply occur in order to generate profit, but it does not follow that such trading is irrational. Trading may generate information, accelerate learning, create commitments and enhance social capital, all of which sustain traders' long term survival in the market. The paper treats noise trading as a form of operational risk facing firms operating in financial markets and discusses approaches to the management of such risk.     

The impact of the shutdown policy on the asymmetric interdependence structure and risk transmission of cryptocurrency and China’s financial market

By taking Bitcoin, Litecoin, and China’s gold and RMB/US dollar exchange rate market as research objects, this paper apply the MF-ADCCA and time-delayed DCCA methods to study the impact of China’s mainland shutdown of cryptocurrencies trading on the non-linear interdependent structure and risk transmission of cryptocurrencies and its financial market. Empirical results show that the cross-correlation between cryptocurrencies and China’s financial market has a long memory and asymmetric multifractal characteristics. After the shutdown, the long memory between cryptocurrencies and Chinese gold has weakened, and the long memory between cryptocurrencies and the RMB/US dollar exchange rate market was strengthened. China’s shutdown policy has a certain risk prevention effect. Specifically, after the implementation of the policy, the risk transmission of cryptocurrencies to China’s financial market has weakened, but the influence of China’s financial market has gradually strengthened.     

Exchange rate dynamics and US dollar-denominated sovereign bond prices in emerging markets

Using data on Brazil, Colombia, Mexico, the Philippines, Russia and Turkey, our empirical results show that the exchange rates of their currencies have adequate explanatory power in explaining their US dollar-denominated sovereign bonds, particularly in the post-global financial crisis period. We develop a two-factor pricing model with closed-form solutions for the sovereign bonds in which the correlated factors are foreign exchange rates and US risk-free interest rates that follow a double square-root process relevant in the low interest rate environment. The numerical results and associated error analysis show that the model credit spreads can broadly track the market credit spreads.     

Experimental evidence on trading behavior,market efficiency and price formation in double auctions with unknown trading duration

The reasons for the highly efficient market outcomes observed under the double auction remain unclear. This paper presents a series of experimental financial markets designed to investigate the importance of unknown trading period duration on trading behavior and the convergence tendencies of such markets. Using panel data techniques the results support the conclusions that individuals generally display more aggressive trading strategies, trading earlier in a period, and that markets exhibit reduced levels of informational efficiency when unknown duration is present. Markets with imperfect information structures are also studied and, in a unique result, are associated with significantly slower rates of trade, as traders become more cautious over their trading strategies. Investigation of the price formation process provides evidence that the pricing error varies over time and the estimation of a fixed effects model provides unique support that learning effects and unknown trading period duration influence the price formation process. Future refinement of theoretical models of the price formation process or institutions of exchange should recognize the effect of unknown trading period duration on market behavior, along with potential learning effects. Copyright © 2005 John Wiley & Sons, Ltd.     

Dynamics of floating exchange rate: how important are capital flows relative to macroeconomic fundamentals?

While focusing on traditional macroeconomic fundamentals, existing literature has provided little understanding of impacts of various types of capital flows on the dynamics of floating exchange rates. This paper develops a structural VAR model that takes into account macroeconomic fundamentals as well as various types of capital flows in explaining the fluctuations of the floating exchange rates of the Australian dollar, the Canadian dollar, and the U.S. dollar over 1980–2004. Our main findings are as follows. Among the traditional macroeconomic fundamentals, relative interest rate still plays a significant role in explaining exchange rate dynamics for all three currencies. Capital flows play an important role in explaining the fluctuations in the Australian dollar and the Canadian dollar, but not the U.S. dollar. In particular, portfolio investment is the most explanatory factor for the Australian dollar and the Canadian dollar. For the U.S. dollar, relative interest rate explains the most of exchange rate fluctuations, especially in the medium to the long run. The results indicate that capital market transactions do play important roles in determining exchange rates; however, it may have different implications for the reserve currencies versus the non-reserve currencies. Further research is needed.     

Analysis of a network structure of the foreign currency exchange market

We analyse structure of the world foreign currency exchange (FX) market viewed as a network of interacting currencies. We analyse daily time series of FX data for a set of 63 currencies, including gold, silver and platinum. We group together all the exchange rates with a common base currency and study each group separately. By applying the methods of filtered correlation matrix we identify clusters of closely related currencies. The clusters are formed typically according to the economical and geographical factors. We also study topology of weighted minimal spanning trees for different network representations (i.e., for different base currencies) and find that in a majority of representations the network has a hierarchical scale-free structure. In addition, we analyse the temporal evolution of the network and detect that its structure is not stable over time. A medium-term trend can be identified which affects the USD node by decreasing its centrality. Our analysis shows also an increasing role of euro in the world’s currency market.     

Carry-trades on the yen and the Swiss franc: are they different?

Using monthly data from 1986 to 2009 for 11 major currencies against the U.S. dollar (USD), we find that interest rate differentials between nine of these currencies are generally positive (sample mean of 0.86%) but are strongly negative for Japan (mean of ?2.78%) and for Switzerland (mean of ?2.22%). Investigating empirical models of nominal exchange rate changes we find for all panels that about 2% of real exchange rate misalignments are corrected in the following month. We also find important differences across samples and for the two carry-trade currencies the key results are as follows. First, interest rate differentials have a negative impact on exchange rates: higher paying currencies should appreciate, contrary to the ex-ante uncovered interest rate parity (UIP) condition. We find that this result is very robust to money supply (M1) differentials serving as instrumental variables to inflation rates. In addition, these two currencies depreciate slightly when money supply (M1) differentials increase. Second, dummy variables for periods of market turmoil suggest a particularly strong appreciation of these currencies against the USD, consistent with the unwinding of carry-trade activities.     

浅议跨国公司境外资金管理

随着我国市场经济体制的不断改革以及与世界经济的逐步接轨,如何依据国家外汇管理法规有关规定,建立高度集中的境外资金管理体制和运行机制,实现"统筹运作、保证需要;集中监管、确保安全;统一调度、提高效率"的境外资金管理要求,取得最优的管理模式,成为跨国公司境外财务管理的重点。本文主要就石油企业跨国公司相关境外承包工程项目的资金管理模式和具体内容结合本人在国际项目的经验谈谈石油跨国公司如何对境外资金进行有效的管理。     

Dynamic interactions between Central European currencies and the euro

We argue that the non-euro EU currencies of Central European countries have moved increasingly together with the euro in foreign exchange markets. To prove this point, we examine the dynamics of cross-elasticity between selected Central European currencies (the Czech koruna, Polish zloty, and Hungarian forint) and the euro exchange rates in U.S. dollar terms using daily data for the January 4, 2000 to April 5, 2019 sample period. We adopt the cross-elasticity model originally proposed and tested for the EU currencies by Orlowski (2016). To test the currency co-movements over time, we employ the Bai-Perron multiple breakpoint regression and two-state Markov switching tests. We find evidence of increasing co-movements between the Central European currencies and the euro that become particularly pronounced in times of financial distress. Co-movements of local exchange rates with the euro are also more pronounced during the euro-periphery sovereign debt crisis.     

When continuous trading becomes continuous: The impact of institutional trading on the continuous trading system of the Warsaw Stock Exchange

This paper examines the impact of a large increase in the number of institutional traders on the performance of a continuous trading system using Polish stock market data. After the Polish pension reform in 1999, the domestic stock market experienced large inflows of money. We theoretically and empirically show that those stocks that are actively traded by pension funds display increases in the share of continuous trading and corresponding liquidity in this system, while no positive effects are found for other stocks. Moreover, we find spill-over effects to the call auction system.     

中国货币市场深化进程中的汇市弹性与压力分析

自21世纪以来,中国货币市场与外汇市场均发生了翻天覆地的变化。对近十年中国货币市场深化发展进程汇市弹性与压力问题的实证结果表明,更富弹性的汇制、更高市场化程度的汇市倾向于高发展水平的货币市场;同时需要政府对外汇市场的逐步放开,使得汇率的波动与调控逐步市场化。货币市场越深化发展,需要更具弹性的汇制与更具自由化的外汇市场与之相协调发展。伴随货币市场的稳步发展,中国汇制的选择更趋合理、更具弹性。     

Concentration on the nearby contract in financial futures markets: A stochastic model to explain the phenomenon

A stochastic model is developed to explain how the early unwinding propensity of market participants in financial futures markets can lead to a strong concentration of the trading volume on the nearby contract. In this model the position closing behavior of the market participants is captured by three distribution functions. The concentration process works under many realistic specifications of these distribution functions. The authors would like to thank Wolfgang Bühler (University Mannheim) and Michael Brennan (UCLA/Los Angeles) for valuable discussion and the Deutsche Forschungsgemeinschaft (DFG) for financial support.