Certain distortions in thinking can lead to decisions becoming inaccurate or irrational. Such biases also play a role in connection with the stock market and trading. One example of this is survivorship bias. In this article, you will find out exactly what survivorship bias means and what it can lead to. <\/p>\n\n\n\n
With so-called cognitive distortions<\/strong> are phenomena from cognitive psychology. It is about faulty tendencies in perception, thinking, remembering and judgment. These can lead to irrational decisions.<\/p>\n\n\n\n Survivorship bias means something like \"Survivor bias<\/strong>\". These distortions are particularly easy to observe when data sets of samples only contain \"surviving\" observations. Examples that were not successful are not taken into account, which leads to Misjudgements <\/strong>can lead to. <\/p>\n\n\n\n The fact that Failures not sufficiently taken into account <\/strong>In particular, the probability of success of groups, individuals or certain events can be overestimated. Successes are therefore seen as an effortless ascent without taking into account the entire process, which also includes setbacks and difficulties.<\/p>\n\n\n\n This bias also plays an important role in the context of the stock market: many investors are guided by past successes, for example, but ignore previous losses, which leads to unrealistic expectations of their investment<\/strong> leads.<\/p>\n\n\n\n Basically, perceptual errors or cognitive distortions arise because the human brain Abbreviations <\/strong>are used. These are intended to simplify things and make ways of thinking more efficient and are also called \"Heuristics<\/strong>\" called. <\/p>\n\n\n\n Survivorship bias can arise as part of an analysis if the data used is selected incorrectly. In this case, the focus of the observer is largely on past successes without sufficient consideration being given to failures. The Errors can occur in one of the following three process steps<\/strong>:<\/p>\n\n\n\n It can be used as early as the Data collection<\/strong> problems can arise. If failures are consciously or unconsciously excluded, there is a strong focus on previous successes.<\/p>\n\n\n\n Also in the course of the Data preparation <\/strong>difficulties can arise if part of the data collected is excluded and the remaining data largely contains successes.<\/p>\n\n\n\n In some cases, the error only occurs during the Analysis<\/strong>. Although sufficient data is available, a person can only focus on a certain type of data, in this case specifically on past successes. This makes the interpretation irrational and unrealistic due to the focus on successes, as the failures have not been taken into account.<\/p>\n\n\n\n Below we look at specific examples of survivorship bias as it can arise in the context of the stock market and investing.<\/p>\n\n\n\n One way to observe the survivorship bias in concrete terms is to trade in growth stocks. During good economic times, growth stocks are often very popular with investors. Investors assume high growth potential and share prices. However, such company shares can often only no or low profits <\/strong>to show.<\/p>\n\n\n\n Investors who are increasingly focusing on Growth stocks<\/a> often justify their investments with past success stories<\/strong> of former growth stocks. These have exceeded all expectations and generated high profits.<\/p>\n\n\n\nWhy does survivorship bias arise?<\/h2>\n\n\n\n
\n
Survivorship bias on the stock market<\/h2>\n\n\n\n
Growth stocks<\/h3>\n\n\n\n