A causal machine learning algorithm is used to estimate trades’ price impact
The authors investigate the link between noninvestors and financial returns using data from a social media platform.
The authors apply an information-theoretical argument to a Bernoulli process to find least biased investment strategy consistent with expected exponential growth.
Does reinvesting payouts in plain vanilla exchange-traded funds enhance household portfolio performance?
This study analyzes whether reinvesting payouts in exchange-traded funds that replicate broad and internationally diversified market indexes enhances households’ portfolio performance after transaction costs.
This paper revisits the cross-sectional approach to the performance analysis of multifactor investment strategies.
In this paper the author studies the performance of factor investment strategies from a practitioner’s point of view.
Following the example of the Kim–Markowitz model, this study adopts similar mechanisms of market operation to perform computer simulations based on agent modeling on the financial market, where shares of one company and a bank account are available …
The authors' findings affirm prior work illustrating the importance of profitability, size, liquidity, momentum and market returns, although we observe minimal evidence of the importance of investment in capital expenditures.
What drives the January seasonality in the illiquidity premium? Evidence from international stock markets
This study is, to the best of the authors’ knowledge, the first attempt to comprehensively examine and explain the January effect in the illiquidity premium.
This paper treats covariance as uncertain in order to find a risk parity weighting that does not count on perfectly optimized hedges and is robust to changes in regime.
This paper discusses portfolio construction for investing in N given assets, eg, constituents of the Dow Jones Industrial Average (DJIA) or large cap stocks, based on partitioning the investment universe into clusters.
The authors formulate the portfolio allocation problem from a trading point of view, allowing both long and short positions and taking trading and interest rate costs into account.
This is the first paper that estimates the price determinants of Bitcoin in a generalized autoregressive conditional heteroscedasticity (GARCH) framework using high-frequency data.
The authors consider a new type of contract for insuring the returns of hedge funds and aim to extend downside protection to an investment portfolio beyond the first tranche of losses insured by first-loss fee structures, which have become increasingly…
This paper proposes an approach whereby the loss function regularizes the errors in prediction in different ways.
This paper analyzes the recent financial performance of the publicly traded companies that employ stationary structures on the open ocean using a comprehensive Thomson Reuters Eikon search.
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 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.
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.