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Justin Mamis – When To Sell

when-to-sell
when-to-sell1

How Professionals Minimize Losses page 73-75:

Blaming ‚them’ is a psychologically and socially acceptable way to avoid blaming oneself. Yet professionals can, and do, make mistakes. When they buy a stock and it doesn’t go up (even if it doesn’t go down) that’s wrong enough for them, simply because it did not perform as expected. The pro reasons that the stock went against his judgement, so he sells it. And he doesn’t expect to be perfect, any more than a professional baseball player expects to bat 1.000. Knowing that losses are inevitable, he seeks to minimize them at all times. To be sure, his ability to take a small loss is enhanced by the benefit of not having to reckon with commission costs, but even so, if he were relatively incompetent he wouldn’t last long in the business; the loss might be less, or slower to pile up, but the return on invested capital would be dismal enough eventually to send him to another field.

Rule One of the professional trader is: When a stock doesn’t do what you expect it to do, sell it. (more…)

Positive words carry less information than negative words

Intriguing new paper showing the higher signal in negative words.

Positive words carry less information than negative words

We show that the frequency of word use is not only determined by the word length [1] and the average information content [2], but also by its emotional content.We have analysed three established lexica of affective word usage in English, German, and Spanish, to verify that these lexica have a neutral, unbiased, emotional content. Taking into account the frequency of word usage, we find that words with a positive emotional content are more frequently used. This lends support to Pollyanna hypothesis [3] that there should be a positive bias in human expression. We also find that negative words contain more information than positive words, as the informativeness of a word increases uniformly with its valence decrease. Our findings support earlier conjectures about (i) the relation between word frequency and information content, and (ii) the impact of positive emotions on communication and social links.

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