Rajandran R Creator of OpenAlgo - OpenSource Algo Trading framework for Indian Traders. Telecom Engineer turned Full-time Derivative Trader. Mostly Trading Nifty, Banknifty, High Liquid Stock Derivatives. Trading the Markets Since 2006 onwards. Using Market Profile and Orderflow for more than a decade. Designed and published 100+ open source trading systems on various trading tools. Strongly believe that market understanding and robust trading frameworks are the key to the trading success. Building Algo Platforms, Writing about Markets, Trading System Design, Market Sentiment, Trading Softwares & Trading Nuances since 2007 onwards. Author of Marketcalls.in

What is Post Earnings Drift?

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Post-earnings drift is a phenomenon in financial markets that refers to the tendency of a stock’s price to continue moving in the same direction as its earnings surprise for an extended period after the company releases its earnings report. This means that if a company reports better-than-expected earnings, its stock price is likely to continue rising in the days, weeks, or even months following the earnings announcement, and conversely, if it reports worse-than-expected earnings, the stock price may continue to decline.

Here are some key points to understand about post-earnings drift:

Earnings Surprise: Post-earnings drift is most pronounced when a company’s earnings report contains a significant surprise, either positive or negative. A positive surprise occurs when actual earnings exceed analysts’ consensus estimates, while a negative surprise happens when actual earnings fall short of expectations.

Market Reaction: Initially, when the earnings report is released, the stock price often experiences a significant and immediate reaction. If there’s a positive earnings surprise, the stock price may jump, while a negative surprise can lead to a sharp decline.

Persistence: What makes post-earnings drift interesting is that the price movement tends to persist over an extended period rather than being just a short-term reaction. This suggests that investors may not fully incorporate the new information from the earnings report immediately, leading to a continued adjustment period.

Market Overreaction: One theory behind post-earnings drift is that investors may initially overreact to the earnings news. If the market overreacts to positive earnings, pushing the stock price too high, it may take some time for the price to revert to its fundamental value. Conversely, if the market overreacts to negative earnings, the stock may be undervalued temporarily.

Information Diffusion: It takes time for information to fully disseminate throughout the market. Analysts, investors, and traders may need time to digest the details of an earnings report, adjust their models, and make informed decisions. This lag in information diffusion can contribute to the persistence of post-earnings drift.

Market Efficiency: Post-earnings drift challenges the Efficient Market Hypothesis (EMH), which suggests that stock prices fully reflect all available information at any given time. The existence of post-earnings drift implies that markets may not always be perfectly efficient, at least in the short to medium term.

Trading Strategies: Some investors and traders attempt to capitalize on post-earnings drift by implementing trading strategies based on this phenomenon. For example, they may buy stocks with positive earnings surprises and hold them for an extended period, hoping to benefit from the price appreciation that often follows.

Rajandran R Creator of OpenAlgo - OpenSource Algo Trading framework for Indian Traders. Telecom Engineer turned Full-time Derivative Trader. Mostly Trading Nifty, Banknifty, High Liquid Stock Derivatives. Trading the Markets Since 2006 onwards. Using Market Profile and Orderflow for more than a decade. Designed and published 100+ open source trading systems on various trading tools. Strongly believe that market understanding and robust trading frameworks are the key to the trading success. Building Algo Platforms, Writing about Markets, Trading System Design, Market Sentiment, Trading Softwares & Trading Nuances since 2007 onwards. Author of Marketcalls.in

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