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ValueProductPastPerformance

Company NameReco DateReco PriceExit PriceExit Date% ReturnIn days
ITC Ltd. 28/12/2023464.20487.5002/01/2025 5.02% 1 yrs
Britannia Industries Ltd. 27/07/20234,875.805,028.2512/11/2024 3.13% 1 yrs
JSW Steel Ltd. 22/02/2024826.951,003.0026/09/2024 21.29% 217 days
Bajaj Auto Ltd. 22/08/20249,910.0011,930.0017/09/2024 20.38% 26 days
Dr. Reddy's Laboratories Ltd. 26/10/20235,429.306,536.0005/07/2024 20.38% 253 days
Shriram Finance Ltd. 25/04/20242,430.102,955.0028/06/2024 21.60% 64 days
Coal India Ltd. 25/01/2024389.50501.6022/05/2024 28.78% 118 days
Infosys Ltd. 27/10/20221,522.601,411.6019/04/2024 -7.29% 1 yrs
State Bank Of India 25/05/2023581.30782.0505/03/2024 34.53% 285 days
The Indian Hotels Company Ltd. 24/08/2023401.85517.9007/02/2024 28.88% 167 days

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Know these behavioural biases before investing
Rishikesh Gaikwad
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Know these behavioural biases before investing

Emotional biases can cause investors to make sub-optimal decisions. A few of the significant biases are discussed here:
 
Loss aversion: Investors tend to prefer avoiding losses as opposed to achieving gains. This bias says that losses have more significance for an investor than an equivalent amount of gain. A rational investor should accept more risk to increase gains. Mitigating losses should not be the main aim of investing. Loss aversion leads people to hold their loser stocks longer even if the investment has zero or little chance of showing improvements. Individual investors tend to suffer a lot from this bias.

Overconfidence bias: Investors, sometimes, demonstrate unwarranted faith in their intuitive reasoning and cognitive abilities. This overconfidence in one’s decision may be harmful as one may have incomplete knowledge and still feel confident about it.

There are two basic types of overconfidence bias: Prediction overconfidence and certainty overconfidence. This kind of bias may result in underestimation of risks and overestimation of expected return, excessive trading, and poorly diversified portfolio. Investors should review their trading records, identify winners and losers, and calculate portfolio performance over at least 3 years. This will make one aware of one’s skill level of identifying winners and also give an idea of the amount of the trading done.

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