Rai Anish, Mahata Ajit, Nurujjaman Md, Majhi Sushovan, Debnath Kanish
Department of Physics, National Institute of Technology Sikkim, Sikkim, 737139, India.
School of Information, University of California, Berkeley, USA.
Physica A. 2022 Apr 15;592:126810. doi: 10.1016/j.physa.2021.126810. Epub 2021 Dec 27.
In the aftermath of stock market crash due to COVID-19, not all sectors recovered in the same way. Recently, a stock price model is proposed by Mahata et al. (2021) that describes V- and L-shaped recovery of the stocks and indices, but fails to simulate the U- and Swoosh-shaped recovery that arises due to sharp fall, continuation at the low price and followed by quick recovery, slow recovery for longer period, respectively. We propose a modified model by introducing a new parameter to quantify investors' positive, neutral and negative sentiments, respectively. The model explains movement of sectoral indices with positive financial anti-fragility ( ) showing U- and Swoosh-shaped recovery. Simulation using synthetic fund-flow with different shock lengths, , negative sentiment period and portion of fund-flow during recovery period show U- and Swoosh-shaped recovery. It shows that recovery of indices with positive becomes very weak with extended shock and negative sentiment period. Stocks with higher and fund-flow show quick recovery. Simulation of Nifty Bank, Nifty Financial and Nifty Realty show U-shaped recovery and Nifty IT shows Swoosh-shaped recovery. Simulation results are consistent with stock price movement. The estimated time-scale of shock and recovery of these indices are also consistent with the time duration of change of negative sentiment from the onset of COVID-19. We conclude that investors need to evaluate sentiment along with before investing in stock markets because negative sentiment can dampen the recovery even in financially anti-fragile stocks.
在因新冠疫情导致股市崩盘后,并非所有行业都以相同方式复苏。最近,马哈特等人(2021年)提出了一种股价模型,该模型描述了股票和指数的V形和L形复苏,但未能模拟出因急剧下跌、低价持续以及随后分别快速复苏、长期缓慢复苏而出现的U形和S形复苏。我们通过引入一个新参数来分别量化投资者的积极、中性和消极情绪,从而提出了一种改进模型。该模型解释了具有正金融抗脆弱性( )的行业指数的走势呈现U形和S形复苏。使用具有不同冲击时长、 、消极情绪期以及复苏期资金流比例的合成资金流进行模拟,呈现出U形和S形复苏。结果表明,随着冲击和消极情绪期的延长,具有正 的指数的复苏变得非常疲软。具有较高 和资金流的股票显示出快速复苏。对印度国家银行指数、印度金融指数和印度房地产指数的模拟显示出U形复苏,而印度信息技术指数显示出S形复苏。模拟结果与股价走势一致。这些指数的估计冲击和复苏时间尺度也与自新冠疫情爆发以来消极情绪变化的持续时间一致。我们得出结论,投资者在投资股票市场之前需要连同 一起评估情绪,因为消极情绪即使在金融抗脆弱性股票中也会抑制复苏。