Journal of Investment Strategies
ISSN:
2047-1238 (print)
2047-1246 (online)
Editor-in-chief: Ali Hirsa
About this journal
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
Journal Metrics:
Journal Impact Factor: 0.1
5-Year Impact Factor: 0.1
CiteScore: 0.6
Latest papers
Advanced visualization for the quant strategy universe: clustering and dimensionality reduction
The authors present a novel visualisation model, based on 5000 quantitative investment strategies, which can identify nonlinear relationships and clustering strategies with similar risk factor exposures.
Using option prices to trade the underlying asset
The authors propose strategies with which to trade the underlying assets of options based on large data sets generated by options trading.
Assessing the efficiency of pure-play internet banks in South Korea, Japan and China with data envelopment analysis
The authors investigate the efficiency of pure-play internet banks in China, Japan and South Korea, recommending they focus on the management of noninterest expenses and income to ensure stable profts.
Unaligned exchange traded funds: risk-adjusted performance and market-timing skills
The authors compare the performance of unaligned exchange-traded funds with US and global equities, finding a significant positive correlation in monthly returns.
Delving into the investment psyche: investigating the determinants influencing individual investors’ decision-making
The authors investigate five cognitive biases and how they impact investment decisions, using data from 400 investors to determine which factors are significant factors in the making of investment decisions.
Formulations to select assets for constructing sparse index tracking portfolios
The authors put forward methods to chose assets for sparse index tracking portfolios and demonstrate the tracking performance with numerical examples.
An entropy-based class of moving averages
The author proposes a family of maximum-entropy-based moving averages with a framework of a moving average corresponding to a risk-neutral valuation scheme for financial time series applied to generalized forms of entropy.
Does investors’ sentiment influence stock market volatility? Evidence from India during pre- and post-Covid-19 periods
The authors use data from during the Covid-19 pandemic to investigate the impact of investor sentiment on equity market volatility, finding negative news to have a stronger impact that positive news of the same magnitude.
Luxury watches: a viable alternative investment or mere speculative trend? An analysis of two decades before the pandemic
The authors analyse the investment performance of collectible watches for the period 1999 - 2020, finding they outperformed the S&P 500 index and other luxury collectible goods.
Examining sustainability investments and financial performance of football clubs: an empirical analysis
The authors investigate how sustainability investments, financial leverage and growth rates impact the stock rate returns of football clubs.
Securities and Exchange Commission Form 13F Holdings Report: statistical investigation of trading imbalances and profitability analysis
The authors argue that trading against SEC Form 13F-HR imbalances can prove a profitable strategy due to the inflation of related asset prices.
Design risk: the curse of constant proportion portfolio insurance
The authors propose the concept of design risk and highlight how inadequately designed structured products or investment strategies can leave investors exposed to unintended risks.
Assessing the potential for asset diversification: an analysis of Brazilian stock indexes, Bitcoin, gold, crude oil and exchange rates
The authors investigate the Islamic and conventional stock indexes for Bitcoin, crude oil and gold in Brazil.
Optimal trend-following portfolios
This paper presents a unifying theoretical setting to introduce an autocorrelation model and derives an optimal portfolio based on a trend-following signal.
Integrated stock–bond portfolio management
The authors put forward a stock-bond portfolio selection model which is based on CreditMetrics principles in which market and credit risks are naturally integrated.
Implementing mean–variance spanning tests with short-sales constraints
The authors demonstrate that Wald tests are prone to numerical instability when accounting for short sales.
An empirical study of the contrarian strategy against US equities in the Japanese market
This paper investigates the contrarian strategy against US equities, finding that for samples where the previous day's daily return on the S&P 500 is positive (negative), the next day's intraday returns on Japanese stock-index futures will be the inverse…
What have we learned from 20 million historical US stock data?
The author offers a statistical characterization of the US stock market from January 3, 1995 to June 11, 2021.
The realized local volatility surface
The authors put forward a Bayesian nonparametric estimation method which reconstructs a counterfactual generalized Wiener measure from historical price data.
Sherman ratio optimization: constructing alternative ultrashort sovereign bond portfolios
This paper explores the Sherman ratio and find that it has merit in the optimization of portfolio construction.