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.     

A cointegration analysis of seafood import demand in Caribbean countries

This article re-examines the relationship between growth in per capita income and environmental degradation using econometric techniques appropriate for smooth transition regressions with panel data. This is a more intuitive and flexible methodology than the polynomial models widely used in the literature, and it can reconcile some of the mixed results found previously. The methodology is applied to carbon dioxide emissions from nonOECD countries over the period 1971 to 1997. Although there is no evidence of environmental Kuznets curve, we find two regimes, namely a low-income regime where emissions accelerate with economic growth and a middle to high-income regime associated with a deceleration in environmental degradation.     

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.     

Economies of scale in Norwegian electricity distribution: a quantile regression approach

In this article, we investigate scale economies in Norwegian electricity distribution companies using a quantile regression approach. To the best of our knowledge, this is the first attempt to apply this estimation technique when analysing scale economies. We estimate the cost elasticities of the two output components: network length and number of customers, to calculate returns to scale. Our results show large potential of scale economies, particularly for the smallest companies. We also find that returns to scale is increasing over time. These findings have important implications for policymakers when they are deciding the structure of the industry in the future.     

The competitive and anticompetitive aheories of advertising: an empirical analysis

Pairs trading is a popular dollar-neutral trading strategy. This article, using the components of the S&P 500 index, explores the performance of a pairs trading system based on various pairs selection methods. Whereas large empirical applications in the literature focus on the distance method, this article also deals with well-known statistical and econometric techniques such as stationarity and cointegration which make the trading system much more demanding from a computational point of view. Trades are initiated when stocks deviate from their equilibrium. Our results confirm, after controlling for risk and transaction costs, that the distance method generates insignificant excess returns. While a pairs selection following the stationarity criterion leads to a weak performance, this article reveals that cointegration provides a high, stable and robust return.     

国际碳交易的经济学理论分析

二氧化碳等温室气体的过度排放造成的全球气温上升已经威胁到人类的生存和发展。对国际碳交易的内涵及经济学理论进行了分析,对深入理解、研究国际碳交易理论基础和实践经验具有非常现实的作用和意义。     

Noise trading, transaction costs, and the relationship of stock returns and trading volume

This article constructs an economic model of a rational trader who operates in a market with transaction costs and noise trading. The level of trading affects the rational trader's marginal cost of transacting; as a result, trading volume (through its effect on marginal cost) is a source of risk. This engenders an equilibrium relationship between returns and volume. The model also provides a simple way to scrutinize this relationship empirically. Empirical evidence supports the implications of the model.     

Directional accuracy,forecasting error and the profitability of currency trading: model-based evidence

Three models (the flexible-price monetary model, PPP and a univariate ARIMA model) are estimated for 45 currency pairs to find out if the profitability of forecasting-based currency trading is more related to the ability of the underlying model to predict the direction of change than the magnitude of the forecasting error. Theoretical considerations show that a correct prediction of the direction of change is neither a necessary nor a sufficient condition for a profitable trade. The results of the exercise indicate that profitability is more strongly correlated with directional accuracy than with the magnitude of the error.     

Effects of electronic trading on the Hang Seng Index futures market

This investigation of the switch from open-outcry trading to electronic trading on the Hang Seng Index (HSI) futures contract reveals that the bid–ask spread narrows and the futures price plays more of a role in information transmission. Factors, such as anonymity in trading and fast order execution in electronic trading, attract informed traders to the futures market, enhancing the information flow. Our results provide support for the worldwide trend of transforming open-outcry markets into electronic trading platforms.     

On the irrelevance of insider trading for managerial compensation

We examine changes in the compensation of CEOs of German firms after the prohibition of insider trading (IT) in 1994 to test whether IT is a relevant compensation device. While we find that the performance elasticity of explicit CEO pay slightly increases subsequent to the IT law adoption for non-financial firms indicating an incentive-substitution effect, the overall change in levels seems modest. We explore the hypothesis that compensation for forgone IT profits in general is small because typically, firms lack at least one of the two necessary conditions for profitable IT: the existence of a liquid stock market imposing low costs of transactions and the presence of a small number of co-insiders, preventing the information rent to be competed away. Based on a difference-in-difference estimation, we indeed find that explicit pay increases more strongly for intensely traded firms and decreases for non-financial firms and insurance companies with a higher number of co-insiders. The combined effect is relatively small except for firms with the most liquid shares.     

A study of benefits compensation mechanism for agricultural water rights trading under the restriction of ecological reconstruction: case study of Shiyang River basin

Agricultural water allocation system based on priority rights has caused regional conJtiets and downstream ecological degradation.It is the urgent need to introduce the concept of the initial water rights and establish benefits compensation mechanism to resolve such problems.This paper takes the Shivang River basin as an example to calculate the opportunity cost of 0.97×108m3 of agricultural water encroached by the middle reach based on initial water right allocation system under which water is allocated in accordance with the ratio between agricultural population of two different regions concerning the downstream ecological reconstruction needs with Bio-economic model (BEM).The results suggest that the total economic loss of Minqin County for ecological econstruction amounts to 2.57×108 yuan,of which 1.68×108 yuan is ecological compensation,representing the economic loss Minqin suffered for ecological reconstruction which should burden beneficial groups of eeological reconstruction and 0.89×108 yuan is the economic loss Minqin suffered due to Liangzhou's encroachment behavior which should be compensated by Liangzhou.     

Using the optimization algorithm to evaluate and predict the business performance of logistics companies–a case study in Vietnam

ABSTRACT

In the current market economy, it is important to evaluate and forecast the situation and business performance of enterprises to provide the necessary information for managers to plan for future use of resources. This study aims to evaluate and predict the business performance of logistics companies in Vietnam. The authors use the optimal algorithm in the data envelopment analysis (DEA) to evaluate the business efficiency of the companies in the years 2014–2017. In addition, the authors use Grey system theory to forecast business results and their future use during the period of 2018–2021. The research shows that Gemadept Corporation and Sea & Air Freight International use the their business resources effectively and as expected, and that these companies will continue to thrive in the future. This study provides a method to measure, evaluate, and forecast the business performance of the logistics companies. Managers and the government can rely on this approach for implementation and overall planning of logistics enterprises in the future.     

New directions in emissions trading: the potential contribution of new institutional economics

Once an arcane topic even among environmental economists, emissions trading systems have substantially increased during this past decade in the USA. Moreover, the implementation of these systems has necessitated increased involvement of professionals in many fields besides economics. This paper reviews the practical experience of the six major types of emissions trading systems, focusing on credit market development, participation and results, including transaction costs. Five more recent applications of emissions trading also are considered, as well as the possibility of inter-pollutant trading. While inter-pollutant trading has been successfully used for chlorofluorocarbons (CFCs), the applicability of this experience is probably very limited. Additionally, it would be highly premature to attempt an evaluation of these newer emissions trading systems, some of which have yet to be even partially implemented. In order to improve these latter and future programs, the paper considers the potential contribution of the New Institutional Economics (NIE) to emissions trading. The NIE is used to develop theoretical insights and a series of predictions about the performance of a range of emissions trading systems.     

On the relationship between energy returns and trading volume: a multifractal analysis

Forecasting and modelling commodities price movements and the activity of energy markets are of real interest to investors and policymakers, especially during turbulent times. This study investigates the volume–returns relationship for two major energy markets (oil and gas) during the recent global financial crisis. Unlike previous studies, we examine this relationship by applying an original fractal approach to intraday data, which has the advantage of accounting for further non-normality, nonstationarity, and fat-tailedness properties. Our study provides two interesting findings. First, we find a significant multifractal relationship between returns and volume in both markets and across all timescales, suggesting nonlinearity in the cross-correlation between returns and volume and rejecting the efficiency assumption. Second, the measure of multifractality in this relationship shows that the magnitude of the fluctuations during bearish and bullish trends affects the volume–return relationship differently, and that the oil market exhibits higher volatility than does the gas market.     

The impact of trading floor closure on market efficiency: evidence from the Toronto Stock Exchange

On 23 April 1997, the Toronto Stock Exchange closed its trading floor, making it at that time the second-largest stock exchange in North America to choose a purely electronic trading environment for its equities. Exploiting this natural experiment, we find that the move to electronic trading resulted in a higher cost of immediacy (bid–ask spreads), increased information asymmetry and an overall deterioration of short-horizon return predictability from past order flows, reducing the efficiency of price discovery. Our results suggest that the human element plays an important role in order execution and complements automated electronic trading by improving the efficiency of incorporating new information into prices.     

High-Frequency Trading,Liquidity Withdrawal,and the Breakdown of Conventions in Foreign Exchange Markets

Conventions, or “that the existing state of affairs will continue indefinitely, except in so far as we have specific reasons to expect a change” (Keynes 1936), play a central role in over-the-counter markets. For instance, by allowing expectations about the future to become more harmonized and orderly, they act as stabilizers for the provision of liquidity. Conventions might, of course, change at any time. Nonetheless, by being attached to the daily trading routine and/or integrated within the institutional structure, the confidence in their relevance and validity can be long-lasting. In the foreign exchange market, in particular, where prices are quoted to end-users on demand, market-making banks rely on a convention to quote prices to each other to maintain liquidity. However, the rise of algorithmic and high-frequency trading poses a practical as well as a theoretical challenge to such conventions. By reacting ultra-fast to new information, including to new limit orders submitted by others, markets largely populated with algorithmic traders have become susceptible to a withdrawal of liquidity at an unprecedented speed and scale. Using a high-frequency dataset provided by Electronic Broking Services (EBS), we investigate the process of liquidity withdrawal from the foreign exchange spot market. By doing so, we consider the crowding out of conventions associated with liquidity provision, traditionally upheld through mutual understanding among financial institutions – in other words, reciprocity and trust among humans.     

我国上市公司股票增值权的博弈分析

股票增值权的激励模式在我国上市公司已实施数十年,然而,实施的过程中仍有许多不足。从股票增值权激励的对象入手,对股票增值权利益相关对象的博弈进行了研究,得到股票增值权计划的条款不能使得双方利益均衡时,依然难以有效激励员工、增加股东利益。     

The anatomy of returns from moving average trading rules in the Russian stock market

This paper examines the profitability of index trading strategies that are based on dual moving average crossover (DMAC) rules in the Russian stock market over the 2003–2012 period. It contributes to the existing technical analysis (TA) literature by comparing for the first time in emerging markets the relative performance of individual stocks’ trading portfolios with that of trading strategies for the index that consists of the same stocks (i.e., the most liquid stocks of the Moscow Exchange). The results show that the best trading strategies of the in-sample period can outperform buy-and-hold strategy during the subsequent out-of-sample period, although with low statistical significance. In addition, we document the benefits of using DMAC combinations that are much longer than those employed in previous TA literature. Moreover, the decomposition of the full-sample-period performance into separate bull- and bear-period performances shows that the outperformance of the best past index trading strategies over is mostly attributable to the fact that they managed to stay mostly out of the stock market during a dramatic crash caused by the global financial crisis.     

交易性金融资产财税处理差异

2007年新会计准则出台后,交易性金融资产的会计处理越加规范和细致,伴随而来的是交易性金融资产财税处理的差异性。交易性金融资产会计处理的要点是什么？不同的会计处理会带来什么样的财税差异？这些问题都是值得探析的课题。     

Information–driven trading at the Prague Stock Exchange: Evidence from Intra–Day Data

Many observers argue that informed and insider trading is widespread in the emerging financial markets of transition countries, yet rigorous treatment of this issue has been virtually non–existent. The current paper estimates the extent of informed trading on the Prague Stock Exchange (PSE) using intra–day transaction data. Our estimates confirm that the average share of informed trading is equal to 0.32, which is high relative to developed markets and varies considerably among stocks. Using the Easley et al. (1996) approach on the very best segment of the PSE we obtained a high average probability of informed trading. Since data used in this study cover the period after the major attempts to improve market regulations, our results indicate that the PSE needs further strengthening to recover credibility and to become a real source of corporate financing. JEL classification: G14, G15.