Pairs trading: does volatility timing matter?

Pairs trading is a dollar-neutral trading strategy. Using the components of two major stock indices, the S&P 500 and the Nikkei 225, this article deals with the performance of a pairs trading system based on various pairs selection methods (distance, stationarity, cointegration) over a 10-year period. On both markets, using a classical framework, cointegration appears superior and effective. On the U.S. market and also in Japan to a lower extent, pairs trading strategies exhibited an impressive performance during the 2008 financial crisis. Bearish periods are associated with a high level of the VIX index: the ‘investor fear gauge’. Using a modified trading system, this article examines the link between pairs trading performance and volatility/VIX timing. It is shown that for the best selection technique (cointegration), timing volatility has no economic value in a pairs trading context.     

Pairs trading: the case of Norwegian seafood companies

In this article, I investigate the performance of a pairs trading strategy on 18 seafood company stocks traded in the Norwegian consumer goods sector on the Oslo Stock Exchange. I apply both high-frequency and daily data from January 2005 to December 2014. I use two approaches – a distance approach and a cointegration approach – and compare the results. For both the distance and the cointegration approaches, nonconvergence of the pairs is high, which may indicate that more fundamental information about the companies traded should be accounted for. None of the strategies evaluated had significant profits after accounting for transaction costs. It therefore remains unclear which approach is best suited for pairs selection. Using high-frequency data yielded empirical distributions that were symmetrical and had a lower degree of leptokurtosis compared to the daily data.     

Pairs trading strategies in a cointegration framework: back-tested on CFD and optimized by profit factor

Statistical arbitrage is based on pairs trading of mean-reverting returns. We used cointegration approach and ECM-DCC-GARCH to construct 98 pairs of 152 stocks of 3 currencies. Stocks trading is done by Contract for Difference (CFD), a financial derivative product which facilitates short selling and provides a leverage up to 25 times. To measure the performance of a leveraged strategy, we introduced the profit factor which is the annualized return rate per unit risk. And the historical risk is measured by maximum drawdown. We compared three main strategies: percentage, standard deviation of cointegration long-term residuals and Bollinger Bands (dynamic standard deviation), with and without double confirmation of short-term standard deviation modelled by ECM-DCC-GARCH. Each of the three main strategies is optimized by two optimizers: absolute profit and profit factor. The optimization period goes from 2012–01-01 to 2014–12-31, and validation period is from 2015–01-01 to 2016–06-01. Our results showed that the USD Bollinger Bands strategy without double confirmation and optimized by profit factor, outperformed other strategies and provided the highest annualized return rate per unit risk; 32% of our sample pairs ended up in loss, and 94% of which are explained by a cointegration break during the testing period.     

Non-linear dependence modelling with bivariate copulas: statistical arbitrage pairs trading on the S&P 100

We develop a copula-based pairs trading framework and apply it to the S&P 100 index constituents from 1990 to 2014. We propose an integrated approach, relying on copulas for pairs selection and trading. Essentially, we fit t-copulas to all possible combinations of pairs in a formation period. Next, we trade these pairs in-sample to assess the profitability of mispricing signals derived from t-copulas. The top pairs are transferred to an out-of-sample trading period, and traded with individualized exit thresholds. In particular, we differentiate between pairs exhibiting mean-reversion and momentum effects and apply idiosyncratic take-profit and stop-loss rules. For the top 5 mean-reversion pairs, we find out-of-sample returns of 7.98% per year; the top 5 momentum pairs yield 7.22% per year. Standard deviations are low, leading to annualized Sharpe ratios of 1.52 (top 5 mean-reversion) and 1.33 (top 5 momentum), respectively.     

Cointegration as an explanation for the Meese–Rogoff puzzle

Some economists suggest that the failure of exchange-rate models to outperform the random walk in exchange rate forecasting out of sample can be attributed to failure to take into account cointegration when it is present. We attempt to find out if cointegration matters for forecasting accuracy by examining the relation between the stationarity and size of the forecasting error. Results based on three macroeconomic models of exchange rates do not provide strong support for the proposition that cointegration matters for forecasting accuracy. The simulation results show that while stationary errors tend to be smaller than non-stationary errors, this is not a universal rule. Irrespective of the presence or absence of cointegration, none of the three models can outperform the random walk in out-of-sample forecasting, which means that cointegration cannot solve the Meese–Rogoff puzzle.     

Performance of moving average trading strategies over varying stock market conditions: the Finnish evidence

This article examines the profitability of dual moving average crossover (DMAC) trading strategies in the Finnish stock market over the period 1996 to 2012. It contributes to the existing technical analysis literature by comparing for the first time the performance of DMAC trading portfolios of individual stocks to the performance of index trading strategies based on trading on an index that consists of the same stocks. The results show that their relative performance varies over time, whereas previous studies have documented outperformance of index trading strategies over trading strategies of stock portfolios. Moreover, the great majority of 3020 DMAC strategies examined in this article outperform the corresponding buy-and-hold (B and H) strategy for both trading targets (i.e., OMX Helsinki 25 index and individual stocks included in the index) in out-of-sample tests. In addition, the decomposition of the full-sample-period performance into separate bull- and bear-period performance shows clearly that the outperformance of DMAC strategies over B and H strategy is mostly attributable to their better performance during bearish periods.     

Are real exchange rates nonlinear with a unit root? Evidence on PPP for Italy: a note

In this article, we apply the recently developed threshold autoregression model to examine both linearity and stationarity of Italy's real exchange rate vis-à-vis her six trading partner (G6) countries. Our main finding is that Italy's real exchange rate is a nonlinear process that is not characterized by a unit root process for five of six trading partner countries. This provides strong support for purchasing power parity.     

论开展电力排污权交易的几个关键问题及挑战

排污权交易强调用市场配置环境资源,改变了政府配置环境资源的管理传统,这将引起环境管理体制和运行机制的全面调整。文章从创造政策环境、建立和电力市场相适应的排污权交易市场、制订中长期总量目标等制度层面分析了我国开展电力排污权交易需要具备的5个前提条件,并针对当前环境管理面临的挑战进行了探讨。     

On the Use of Exchange Rates as Trading Rules in a Bilateral System of Transferable Discharge Permits

The use of a system of transferable discharge permitsto control the harmful effects of non-uniformly mixedpollutants requires the application of trading rulesin order to prevent permit trading among sources fromviolating environmental standards. The elements andproperties of bilateral trading rules can be analyzedmore easily once formulated as exchange rates, whichwould convert, in a cost-effective way, the emissionright potentially given up by the seller into an offsetting emission right acquired by the buyer. Inthis article, a new expression for such exchange ratesis proposed and then analyzed to infer someunexplored properties of the system.     

Markets,Morality and Climate Change: What,if Anything,is Wrong with Emissions Trading?

This article explores whether emissions trading is morally defensible To do so it examines three different kinds of moral consideration Which might be used to judge emissions trading. The first kind makes what I term an ‘ethical’ objection, and holds that utilising market instruments to combat climate change is inherently objectionable. I examine three versions if this ‘ethical’ argument but find none persuasive. The remainder of the article considers two additional moral considerations, both of which appeal to principles of justice. Drawing on these it argues that emissions trading can be morally defensible but only it it meets these two demanding moral criteria. First, the costs of emissions trading should be shared equitably. The paper examines what this might mean and criticises the leading account of what constitutes a just distribution of emissions Second, emissions trading must make an appropriate contribution to climate mitigation. A number of ways in which current emissions trading schemes signally fail to meet this second criterion are then noted. The article concludes that emissions trading schemes could in principle be morally defensible but only if new schemes are introduced or existing schemes are radically redesigned in line with the principles outlined in the article.     

Time,trading and algorithms in financial sector security

This article examines the financial security issues raised by the rapid development of high-frequency trading (HFT). HFT involves automated algorithmic trading of financial instruments where the objective is to reduce the time scale between the initiation and execution of trades to microseconds (or even nanoseconds) so as to reap competitive advantage. After outlining the contours of a HFT world, the presentation goes on to discuss some of its important consequences and implications. Several matters are discussed in this context: market manipulation, hacking, index construction and violence. Of particular significance for the notion of financial security is the issue of time as embodied in algorithmic trading. In turn this raises concerns over the regulation and management of this new field of financial innovation and trading activity.     

论排污权交易

排污权交易是一种采用经济手段进行环境保护的手段,越来越多地受到了国际及国内社会的重视。本文对排污权交易进行了系统地介绍,论述了排污权交易的含义、性质、目的、特征,并在此基础上论述了排污权交易法律关系的构成。最后,对我国的排污权交易制度建立的障碍进行了分析,提出了构建我国排污权交易制度的若干设想。     

Exchange rate uncertainty and the level of investment in selected South-east Asian countries

The effect of real exchange rate uncertainty on aggregate private investment in Indonesia, Malaysia, the Philippines and Thailand is examined using time series data from 1972–2000. Since the use of non-stationary time series data may produce spurious results, the data series are tested for stationarity using the augmented Dickey–Fuller and Phillips–Perron tests. After establishing the stationarity of the data series, cointegration tests are performed. The cointegration test results reject the hypothesis of no cointegration. Therefore, an error correction model is developed and estimated. The estimated results point to an inconclusive empirical relationship between real exchange rate volatility and aggregate private investment.     

Emission trading in Europe with an exchange rate

This paper explores the analytical and empirical properties of a new method for emission trading according to a fixed exchange rate. The exchange rate is based on the ratios of the marginal costs of abatement in the optimal solution in order to account for the impact of the location of emission sources on the deposition. It is shown that, generally, this system will not achieve the optimal solution and does not guarantee that environmental deposition constraints are not violated, although total abatement costs are always reduced. A routine was developed to mimic trading as a bilateral, sequential process, subject to an exchange rate. In the example used, results for SO₂ emissions in Europe show that, starting from a uniform reduction, exchange-rate trading achieves higher cost savings than one-to-one trading, without achieving the cost minimum. Sulfur deposition targets are not violated since the initial emission allocation overfulfilled targets at many places. The results are sensitive to: pre-trade emission levels, the transaction costs, the availability of information on potential cost savings and assumptions made on the behavior of trading partners.     

#br# 融资融券加大了沪深股市波动吗*

融资融券设计初衷是通过融资加强市场流动性和通过融券提供投资者规避价格下跌风险的金融工具，改善由供求关系严重失衡导致市场巨幅震荡的局面，实现资本市场长期稳定的目标。实际操作中，融资融券疏通货币市场和资本市场间的资金流动，撬动巨额资金涌入股市；融资规模扩张过快而融券做空力量薄弱，业务结构发展严重失衡，导致两融业务具有“小冲击、大波动”的金融加速效应，放大了外部冲击引起股价上涨和下跌的幅度。协整回归分析表明，两融业务规模的扩张和收缩对上证指数涨跌具有显著的同向影响。TGARCH事件模型结果进一步证实融资融券从稳定股价到加剧波动的功能变化。随着标的股票扩容和业务常规化，两融业务导致股市投机过度，加剧了沪深两市的资产价格异动，没有达到平抑波动的设计预期。     

The Ethics of Emissions Trading

This article defends three ethical arguments against emissions trading. The first argument alleges that emissions trading is morally objectionable, because it ‘commodifies’ the atmosphere. The second argument involves various objections to attaching prices to units of emissions – loosely speaking, the objection is to pricing that which is priceless or should not be priced. The third argument turns on the idea that if a large cut in emissions is to be made by society overall, everyone should ‘do their bit’ by making a particular kind of sacrifice rather than paying others to do it instead. Some general conclusions concern the limitations of confining the analysis to idealised emissions trading, the difficulty in separating ‘economistic’ thinking about policy delivery from policy choice and the need to focus questions of justice on consumers rather than on producers.     

Is Moderate Market Performance in the U.S. a Sufficient Condition for Abnormal Returns on CEFs?

In this project, our topic pertains to examination of market efficiency, employing data from closed-end funds (CEFs) trading in the American stock market. Employing both aggregate and individual data, we examine whether or not moderate market performance is a sufficient condition in order to achieve abnormal returns, in the short-run, through exploitation of discount deviations from its mean value. The main hypothesis tested is that market performance affects the mean-reverting properties of CEFs’ discount. Moderate market performance ensures the mean-reversion of CEFs’ discount and points to cointegration between the share prices of CEFs and their net asset value (NAV). Furthermore, when NAV is identified as the common stochastic trend of the system then, market inefficiency is detected.     

德国国家碳排放权交易体系初探

为落实减排承诺,实现2050年碳中和目标,德国联邦政府立法明确从2021年起引入国家碳排放权交易体系,针对未纳入欧盟碳市场的交通和建筑领域实施二氧化碳排放定价。本文通过介绍政策背景、交易基础和各要素情况,对比欧盟碳排放交易制度,初步探析德国即将实施的国家碳交易体系。     

The empirical study on price discovery of cornstarch futures market in China

This article aims at exploring the performance of the price discovery function of cornstarch futures market in China. In order to test the stationarity of the cash and futures prices of cornstarch, the augmented Dickey–Fuller test is applied. Both prices are integrated of order one. Then, the Johansen cointegration test is conducted to test the cointegrating relationship between those two prices. Finally, the Granger causality test is performed to observe the direction of causality. The evidence shows that there is a long-run relationship between cash and futures prices and the futures price Granger causes cash price. As a whole, price discovery of cornstarch market in China is present although it is a newly emerged market.     

Does oil price variability affect ASEAN exchange rates? Evidence from panel cointegration test

Using panel data, this article investigates the long-run relationship between real oil prices and real exchange rates for selected ASEAN countries by utilizing quarterly data from 1973:Q1 to 2013:Q4. The modelling implementation starts with the determination of the stationarity condition of the variables which are found to be integrated of order one. Using Maddala and Wu’s (1999) panel cointegration test, the article finds evidence of cointegration among the variables. The fully modified OLS (FMOLS) and dynamic OLS (DOLS) are then used to estimate the long-run relationship between the variables, followed by applying Toda–Yamamoto causality test. The findings exhibit bidirectional causality between real oil prices and real exchange rates in the long run, where it is highly significant.