The Journal of Investment Strategies is dedicated to the rigorous treatment of modern investment strategies; going well beyond the “classical” approaches in both its subject instruments and methodologies. In providing a balanced representation of academic, buy-side and sell-side research, the Journal promotes the cross-pollination of ideas amongst researchers and practitioners, achieving a unique nexus of academia and industry on one hand, and theoretical and applied models on the other.
The Journal contains in-depth research papers as well as discussion articles on technical and market subjects, and aims to equip the global investment community with practical and cutting-edge research in order to understand and implement modern investment strategies.
With a focus on important contemporary investment strategies, techniques and management, the journal considers papers on the following areas:
- Fundamental Strategies: including fundamental macro, fundamental equity or credit selection
- Relative Value Strategies: estimation of and investing in the relative valuation of related securities, both vanilla and derivatives
- Tactical Strategies: strategies based on forecasting of, and investing in, patterns of market behavior, such as momentum or mean reversion, and tactical asset allocation strategies.
- Event-Driven Strategies: strategies based on the forecast of likelihood of market-moving events or market reactions to such events
- Algorithmic Trading Strategies: models of market microstructure, liquidity and market impact and algorithmic trade execution and market-making strategies
- Principal Investment Strategies: investment strategies for illiquid securities and principal ownership or funding of real assets and businesses
- Portfolio Management and Asset Allocation: models for portfolio optimization, risk control, performance attribution and asset allocation
- Econometric and Statistical Methods: with applications to investment strategies
Abstracting and indexing: Clarivate Analytics Emerging Sources Citation Index; EconLit; EconBiz; and Cabell’s Directory
We find that the buy-and-hold (B&H) strategy for the S&P 500 index (^GSPC) for January 1950–April 2019 had a significantly higher return than that produced by time series momentum (TSM). However, TSM was superior in terms of the Sharpe ratio due to its…
This study examines the performance of two strangle strategies at different legs to find the best strategy for consistent profit generation when trading on the Indian stock market index Nifty.
Smaller drawdowns, higher average and risk-adjusted returns for equity portfolios, using options and power-log optimization based on a behavioral model of investor preferences
The authors use a power-log utility optimization algorithm based on a behavioral model of investor preferences, along with either a call or a put option overlay, to reverse the negative skewness of monthly Standard & Poor’s 500 (S&P 500) index returns…
In this paper, the eigendecomposition of a Toeplitz matrix populated by an exponential function in order to model empirical correlations of US equity returns is investigated.
It is hoped that this paper will form a foundational approach to the study of dynamic strategies and how to optimize them. We make efforts to understand their properties without claiming to understand why they work (ie, why there are stable…
This paper challenges widely applied trading indicators with regard to their ability to generate a robust performance.
This paper finds that a zero-investment strategy that goes long (short) in the highest (lowest) quintiles of firm-specific risk earns overall positive excess returns across twenty-one emerging markets.
This paper shows analytically that a volatility-targeted allocation methodology improves the risk-adjusted performance of portfolios under a broad set of assumptions regarding the serial correlation of returns and the dependence of the expected Sharpe…
In this paper, the authors show the connection between equities and foreign exchange markets via this window, they leverage this connection using an algorithmic trading strategy and rank various statistical techniques used to make predictions for trading…
This paper uses a twenty-year data set of all publicly listed US firms from 1995 to 2014 to create a unique measure of both the extent and the scope of firm-level multinationality.
This paper introduces a consistent performance strategy (CPS), which, if followed, leads to a portfolio having consistently positive returns over time and exhibiting a steady upward trend.
This paper offers two composite bond market factor investment strategies each for the Swiss bond market and for the global sovereign bond market.
In this paper, the authors examine if investors can profit from the underperformance of leveraged exchange-traded funds (ETFs) in long holding periods.
In this paper, the authors present a multiperiod portfolio management strategy that can be used to directly manage the realized volatility over a long time horizon.
This paper is devoted to the question of optimal portfolio construction for equity factor investing. The authors discuss the question of multifactor portfolio construction and show that the simplistic approaches often used by practitioners tend to be…
This paper examines strategy performance from an investment practitioner perspective. Using long-term data from the Standard & Poor’s 500, the authors show that these strategies offer an improvement in risk-adjusted return compared with a buy-and-hold…
This study investigates international stock index arbitrage opportunities between seven blue-chip indexes in Asian, European and US time zones over a twenty-year time horizon.
In this paper, the authors discuss the various performance measures of beta hedging and offer a new synthetic criterion that accounts for both risk-adjusted returns and losses of trading strategy.
The aim of this paper is to create systematic trading strategies built around several financial crisis indicators, which are based on the spectral properties of market dynamics.
In this paper, the authors combine several disparate avenues in the literature to create a novel, unified risk-based optimization framework.