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In current study wehave single stock whose price observe a switching geometric Brownian motion. Also, the stockpay no dividends.  1 Given the current price of a stock the sold axiom consists of target price and a stoploss limit. A ‘sell’ decision is made when the price reach either the target price or the set stop-loss limit. The main purpose is to benefit investors.  2 During their financial careers, One investors often pick up the a bad weak stock or the purchase it made is at the wrong time in reality. So, In both the cases, it is often wise and necessary to sel sell it such a stock as soon as possible to stop curtail losses. In practice, a target prices, are is typically around a gain of 15 %  3 5 5 % and a stop-loss limit s generally vary from 5 % to to 20 % . It isHowever,, however, it is not a good idea to adopt uniform rules for booking profits and losses taking. because Each each stock different, has its own characteristics that call for . Moreocer, it should be treated differently with different liquidation rules 4 .

 

In this study, we consider set of targetprices and stop-loss limits and choose a target price and stop-loss Limit in that set to enhance an expected reward function . We aim, at deriving this price limits… In addition, we get the expected target period and the probability of making and losing money.  5 In practice, investorsa frequently used critera for measureing the portfolio performance of portfolio ias the percentage return pr over a given timeunit time. HoweverHowever, such thata criterion has lead to many transactions because of it encourages taking small profits-taking within the a short brief holding time period (τ0) and increases transaction costs. For those reasons and others 6 , it may be. Clearly, such a criterion is not-unsuitable to for retail investors, especially those because whoof the cannotlimited time available for constantly monitor their portfolios trading and Additional transaction costs. In contrast,  7 A a discount factor, in contrast reducesules out very the frequency and cost oft transactions because it replaces the time as a determinant of holding periodfactor is replaced by discount rate. Theis da discounted-reward function is natural in many financial problems commonly applied to many financial problems.

This study examines a no-dividend stock with prices that exhibit regime-switching geometric Brownian motion. We consider sets of stop-loss limits and target prices and determine those that promise to enhance an expected reward function. We aim to derive these limits as well as an expected holding period and probabilities of making and losing money.

Explanations

In currentThis study wehave examines a no-dividend single stock whose prices observe aexhibiting regime-switching geometric Brownian motion. Also, the stockpay no dividends.  1 Given the current price of a stock, the sold selling axiom consists ofcomprises a target price and a stop-loss limit. A sell decision is made when the price reaches either the target price or the set stop-loss limit. The main purpose is to benefit investors. During their financial careers, One investors often pick up the a bad weak stock or the purchase is made is at the wrong time in reality. So, Therefore, it is necessary to sel sell it such a stock as soon as possible to stop losses. In practice, a target prices, are is typically around a gain of 15 % 5 5 % and a stop-loss limit s generally vary from 5 % to to 20 % . It isHowever,, however, it is not a good idea to adopt uniform rules for booking profits and losses taking. because Each each stock different, has its own characteristics that call for . Moreocer, it should be treated differently with different liquidation rules 2 .

 

In this study, wWe consider sets of target prices and stop-loss limits and choose determine those a target price and stop-loss Limit in that set promise to enhance an expected reward function . We aim, at deriving theseis price limits. In addition, we get determine the an expected target period and the probability of making gaining and losing money. In practice, a frequently used criteriona for measuring the performance of portfolios is the percentage return pr over a given timeunit time. HoweverHowever, such a criterion has lead to many transactions because of it encourages taking small profits-taking within the a short holding time period (τ0) . . Clearly,, such a criterion is not-unsuitable to for retail investors, especially those because whoof the cannotlimited time available for constantly monitor their trading and Additional additional transaction costs. In contrast,  3A a discount factor, in contrast reducesules out very the frequency oft transactions because it replaces the time as a determinant of holding periodfactor is replaced by discount rate 5 . Theis da discounted-reward function is common natural in many financial problems.

Explanations

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