Long/short equity is an old-notion, at the core of portfolio diversification and risk adjusted performance, which has frequently been underutilized in the small- and mid-cap markets. Such segments of the market with its increased volatility, market manipulation, and bottlenecks of liquidity as well as structural inefficiency, present special threats and a currently unmet potential of innovative investment strategies. This paper discusses new developments in long/short equity strategies alleviated toward small and mid-cap equities, together with the shifts in alerts of quantitative variable models, alternate knowledge resources and machine-learning applications permitting stronger alpha production and risk management. It also takes into account the manner dynamic hedging mechanism and algorithmic trading instruments have helped in increasing efficiency in execution in less liquid markets. Based on lessons gleaned by fund managers and comparative studies against the classic forms, the discussion highlights how innovation is transforming the investment strategies that are no longer dominated by big caps. The paper also assesses intrinsic difficulties such as risks involved in the operation of automation, the credibility of data used, and ethical issues attached to automation and data-driven decision-making. Finally, the research conclusions imply that new developments in long/short equity strategies contain a lot of potential to unleash value in small/mid cap markets and provide strategic opportunities to be exploited by investors who target diversification, stability, and long-term performance.
K. L. Senthil Kumar (Mon,) studied this question.