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The purpose of this paper is to empirically analyze the “market-neutral” characteristics of the market-neutral strategy hedge funds in Chinese A-share market.

The analyses in the paper are conducted to study the market-neutral characteristics by means of index analysis, correlation analysis, β-neutral analysis and the three-factor model analysis.

The results show that the performance advantage of the market-neutral strategy hedge funds is obvious. Most market-neutral strategy funds are exposed to market risks and the α strategy funds also have obvious style factor exposure; strictly speaking, all of the market-neutral strategies have not reached the “market-neutral” requirements. This paper also finds that Chinese trading restrictions on stock index futures in September 2015 have a significant impact on Chinese market-neutral strategy hedge funds.

The conclusion of this paper has a certain reference value for understanding the risk characteristics and possible problems of hedge funds in emerging markets, and also has important reference value for investors.

Using volatility cones as the estimate of actual volatility instead of GARCH models, the purpose of this paper is to explore whether volatility arbitrage strategy can provide positive profits and how the transaction costs existed in the real market affect the effectiveness of volatility arbitrage strategy.

A number of hedging approaches proposed to improve the hedging results and final returns of Black-Scholes model are analyzed and compared.

The general finding is that volatility arbitrage strategy can provide satisfactory returns based on the samples in Chinese market. Regarding transaction costs, the variable bandwidth delta and delta tolerance approach showed better results. Besides, choosing futures together with ETFs as hedging underlying can increase the VaR for better risk management.

This paper offers a new method for volatility arbitrage in Chinese financial market.

This paper researches the profitability of the volatility arbitrage strategy on ETF 50 options using volatility cones method for the first time. This method has advantage over the point-wise estimation such as GARCH model and stochastic volatility model.

The purpose of this paper is to present an alternative approach to equity trading that is based on cointegration. If there are long-run equilibria among financial assets, a cointegration-based trading strategy can exploit profitable opportunities by capturing mean-reverting short-run deviations.

First, the author introduces an equity indexing technique to form cointegration tracking portfolios that are able to replicate an index effectively. The author later enhances this tracking methodology in order to construct more complex portfolio-trading strategies that can be approximately market neutral. The author monitors the performance of a wide range of trading strategies under different specifications, and conducts an in-depth sensitivity analysis of the factors that affect the optimal portfolio construction. Several statistical-arbitrage tests are also carried out in order to examine whether the profitability of the cointegration-based trading strategies could indicate a market inefficiency.

The author shows that under certain parameter specifications, an efficient tracking portfolio is able to produce similar patterns in terms of returns and volatility with the market. The author also finds that a successful long-short strategy of two cointegration portfolios can yield an annualized return of more than 8 percent, outperforming the benchmark and also demonstrating insignificant correlation with the market. Even though some cointegration-based pairs-trading strategies can consistently generate significant cumulative profits, yet they do not seem to converge to risk-less arbitrages, and thus the hypothesis of market efficiency cannot be rejected.

The primary contribution of the research lies within the detailed analysis of the factors that affect the tracking-portfolio performance, thus revealing the optimal conditions that can lead to enhanced returns. Results indicate that cointegration can provide the means to successfully reproducing the risk-return profile of a benchmark and to implementing market-neutral strategies with consistent profitability. By testing for statistical arbitrage, the author also provides new evidence regarding the connection between the profit accumulation of cointegration-based pairs-trading strategies and market efficiency.

This paper aims to demonstrate a dynamic cointegration-based pairs trading strategy, including an optimal look-back window framework in the cryptocurrency market and evaluate its return and risk by applying three different scenarios.

This study uses the Engle-Granger methodology, the Kapetanios-Snell-Shin test and the Johansen test as cointegration tests in different scenarios. This study calibrates the mean-reversion speed of the Ornstein-Uhlenbeck process to obtain the half-life used for the asset selection phase and look-back window estimation.

By considering the main limitations in the market microstructure, the strategy of this paper exceeds the naive buy-and-hold approach in the Bitmex exchange. Another significant finding is that this study implements a numerous collection of cryptocurrency coins to formulate the model’s spread, which improves the risk-adjusted profitability of the pairs trading strategy. Besides, the strategy’s maximum drawdown level is reasonably low, which makes it useful to be deployed. The results also indicate that a class of coins has better potential arbitrage opportunities than others.

This research has some noticeable advantages, making it stand out from similar studies in the cryptocurrency market. First is the accuracy of data in which minute-binned data create the signals in the formation period. Besides, to backtest the strategy during the trading period, this study simulates the trading signals using best bid/ask quotes and market trades. This study exclusively takes the order execution into account when the asset size is already available at its quoted price (with one or more period gaps after signal generation). This action makes the backtesting much more realistic.

The purpose of this paper is to examine the risk of inefficiency of China's stock index futures market by investigating the opportunity and profitability of exchange‐traded fund (ETF) arbitrage. The explanation of behavioral risk to market efficiency is examined.

Based on cost‐of‐carry model, some assumptions about market efficiency were examined, and statistical tests were implemented to support the findings.

In China, borrowing and lending interest rates are quite different; dividends are small and paid in an irregular manner; and short sale cannot be used in arbitrage by all investors. It is found that the Chinese index futures market is far from efficient.

With reference to the empirical study, this is believed to be the first application of behavioral study to the study of market efficiency. The analysis of the statistics about Chinese index futures market and the algorithm parameters are very valuable for in‐depth understanding of the emerging markets.

The purpose of the paper is to examine the role of institutional distance as a determinant of outward foreign direct investment (OFDI) from India. The study combines a nuanced view of institutional distance, with traditional location factors to analyze Indian OFDI flows to developed and emerging economies (EEs) during the period 2009 to 2017.

The paper employs fixed effects panel regression model on an unbalanced panel data set.

The findings suggest that India's OFDI is undeterred by the isomorphic pressures caused by regulatory and normative institutional distance, but cognitive institutional distance acts as a deterrent in developed economies. Indian MNEs engage in institutional arbitrage as they simultaneously engage in strategies of institutional escapism and institutional exploitation. The study also finds that emerging economies have emerged as an important destination for strategic asset seeking FDI, in addition to developed economies.

The findings of the study present important implications for policymakers and corporate managers. For policymakers, the study points toward the need for improving the general business environment at home to prevent escapist OFDI and trade enhancement as a tool to overcome cognitive barriers and behavioristic stereotypes. For corporate managers, the study's findings underline the importance of adopting different strategies for dealing with different isomorphic pressures in developed and emerging economies.

The study adds value to the sparse literature using the IBV in the emerging markets context, to supplement and enrich existing theoretical frameworks. It is a pioneering study in its use of institutional distance as an explanatory factor for Indian OFDI and provides evidence of institutional arbitrage.

Do regional equity market conditions (bear market) affect the financial performance of firms involved in cross-border mergers and acquisitions (M & A)? If so, is there a clear difference between inward and outward M & A in selected regions? The author addresses these questions using a sample of cross-border M & A between 1990 and 2013 in three major geographical regions of the emerging markets: Brazil, Russia, India, and China (BRIC), Eastern Europe, and Africa. The author finds that regional equity market conditions – such as bear equity conditions – along with direction of the cross-border M & A (inward vs outward), and differences in economic fundamentals among these regions carry valuable information and have real effects on market reactions to the announcement of cross-border M & A transactions. The paper aims to discuss these issues.

Using an empirical approach, the author takes a regional perspective, with emphasis on three regions (BRIC, Eastern Europe, and Africa), and aim to determine the impact of the state of the regional equity market (bear stock market), and direction and duration of the M & A on market reactions to the announcement of cross-border M & A.

The author documents the impact of regional equity market conditions on the financial performance of firms involved in cross-border M & A. The author underlines that differences in economic fundamentals among regions carry valuable information and have real effects on the performance of target firms.

On the one hand, merger arbitrage investors are keen to learn how to profit and position their investments accordingly during those periods. Therefore, this study has also put the limelight on the underlying factors that influence the market reaction around the M & A announcement at the regional level and clearly shows the additional benefits of regional market conditions, direction of the transactions, and the timing to highlight the positive gain of those equity investments regarding the emerging markets. On the other hand, as the purpose of the study is to delve into the market reactions to the M & A announcement while taking into consideration some relevant factors such as regional equity market conditions to assist companies’ managers and CEOs to effectively choose the right time.

By incorporating the result presented in this study, another “family” of mutual funds, beyond just the combination of risky assets and the riskless asset is being introduced. Those investment portfolios which take into account merger and/or any opportunistic strategies are tailored more to the needs of various clienteles. For assisting the analyst and portfolio manager, the intuitive character of the result makes it versatile and easy to use by investment firms as an additional decision tool.

To the author knowledge, this is the first study that delves into the market performance of companies involved in cross-border M & A in the emerging markets by taking a regional perspective and aiming to determine the impact of the state of the regional equity market (bear stock market) on the M & A. It offers additional support to those institutional investors who are pursuing international diversification across various countries including emerging markets such that bear equity conditions (recessions in the regional stock markets) have an additional negative impact and a real effect on the performance of target firms.

This research aims to examine hedge funds’ performance, risk and flow before and after the implementation of the Stop Trading on Congressional Knowledge (STOCK) Act.

This paper includes the use of different factor models to highlight the performance and risk of hedge funds before and after the implementation of the STOCK Act. Hedge fund holdings are retrieved from Thomson Reuters Lipper Hedge Fund Database (TASS).

This study finds significant differences before and after the implementation of the STOCK Act. The results for the entire sample period indicate that hedge funds suffered lower-alpha, standard deviation and idiosyncratic risk after the implementation of the STOCK Act.

The paper’s originality and value lie in addressing the relationship gap between the STOCK Act and hedge fund performance.

This study aims to enhance the simultaneous utilization of measure in product design by mapping out the possible and potential uses of a measure for both academicians and practitioners.

To map out a way for the simultaneous utilization of measure, the authors assessed and portrayed the diverse facets of a four-factor measure for the development of mobile devices by adopting pluralistic techniques through a series of studies and three different study samples.

This study provided a solution for enhancing the usability of measure in product management, showing that a measure can be developed using a pluralistic methodology so that the results can be incorporated into the practitioners’ design activities that occur and when the gap between theory and practice is a knowledge production problem.

The main positioning of this study involves the science-design interface (Simon, 1992) to bridge the important gap between theory and practice by showcasing a measure development for product design as a strategy of intellectual arbitrage (Van De Ven and Johnson, 2006). Relying on the design scientific approach, the authors focused this study on a prescriptive procedure rather than a more rigorous methodological procedure.

The authors provided product managers with a systematic and synergistic approach to developing a measure and recommended several usages of the developed measure to enhance its simultaneous utilization between academics and practitioners.

Emphasizing pluralistic methodology in the measure development, the authors recommended the concept of intra-examination. The first-order intra-examination, utilizing Bayesian Networks, makes available the thick descriptions of the measure and supports reasoning under uncertainty. The second-order intra-examination examined nomological networks regarding the pragmatic relationships between the four factors that comprise the measure and other important constructs.