• Title/Summary/Keyword: Parrondo effect

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Parrondo Paradox and Stock Investment

  • Cho, Dong-Seob;Lee, Ji-Yeon
    • The Korean Journal of Applied Statistics
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    • v.25 no.4
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    • pp.543-552
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    • 2012
  • Parrondo paradox is a counter-intuitive phenomenon where two losing games can be combined to win or two winning games can be combined to lose. When we trade stocks with a history-dependent Parrondo game rule (where we buy and sell stocks based on recent investment outcomes) we found Parrondo paradox in stock trading. Using stock data of the KRX from 2008 to 2010, we analyzed the Parrondo paradoxical cases in the Korean stock market.

Spatially dependent Parrondo games and stock investments (공간의존 파론도 게임과 주식 투자)

  • Cho, Dong-Seob;Lee, Ji-Yeon
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.5
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    • pp.867-880
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    • 2012
  • Parrondo paradox is the counter-intuitive situation where individually losing games can combine to win or individually winning games can combine to lose. In this paper, we derive the expected profit per trade for each portfolio when we trade stocks everyday under the spatially dependent Parrondo game rule. Using stock data of KRX (Korea Exchange) from 2008 to 2010, we show that Parrondo paradox exists in the stock trading.

Cooperative effect in space-dependent Parrondo games (공간의존 파론도 게임의 협력 효과)

  • Lee, Jiyeon
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.4
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    • pp.745-753
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    • 2014
  • Parrondo paradox is the counter-intuitive situation where individually losing games can combine to win or individually winning games can combine to lose. In this paper, we compare the history-dependent Parrondo games and the space-dependent Parrondo games played cooperatively by the multiple players. We show that there is a probability region where the history-dependent Parrondo game is a losing game whereas the space-dependent Parrondo game is a winning game.

A redistribution model for spatially dependent Parrondo games (공간의존 파론도 게임의 재분배 모형)

  • Lee, Jiyeon
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.1
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    • pp.121-130
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    • 2016
  • An ansemble of N players arranged in a circle play a spatially dependent Parrondo game B. One player is randomly selected to play game B, which is based on the toss of a biased coin, with the amount of the bias depending on states of the selected player's two nearest neighbors. The player wins one unit with heads and loses one unit with tails. In game A' the randomly chosen player transfers one unit of capital to another player who is randomly chosen among N - 1 players. Game A' is fair with respect to the ensemble's total profit. The games are said to exhibit the Parrondo effect if game B is losing and the random mixture game C is winning and the reverse-Parrondo effect if game B is winning and the random mixture game C is losing. We compute the exact mean profits for games B and C by applying a state space reduction method with lumped Markov chains and we sketch the Parrondo and reverse-Parrondo regions for $3{\leq}N{\leq}6$.

Stock investment with a redistribution model of the history-dependent Parrondo game (과거의존 파론도 게임의 재분배 모형을 이용한 주식 투자)

  • Jin, Geonjoo;Lee, Jiyeon
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.4
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    • pp.781-790
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    • 2015
  • The Parrondo paradox is the counter-intuitive phenomenon: when we combine two losing games we can win the game or when we combine two winning games we can lose the game. In this paper, we assume that an investor adopts the rule of the history-dependent Parrondo game for investment in the stock market. Using the KRX (Korea Exchange) data from 2012 to 2014, we found the Parrondo paradox in the stock trading: the redistribution of profits among accounts can turn the decrease of the expected cumulative profit into the increase of the expected cumulative profit. We also found that the opposite case, namely the reverse Parrondo effect, can happen in the stock trading.

Parrondo effect in correlated random walks with general jumps (일반 점프크기를 가지는 상관 확률보행의 파론도 효과)

  • Lee, Jiyeon
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.5
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    • pp.1241-1251
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    • 2016
  • We consider a correlated discrete-time random walk in which the current jump size depends on the previous jump size and a noncorrelated discrete-time random walk where the jump size is determined independently. By using the strong law of large numbers of Markov chains we derive the formula for the asymptotic means of the random mixture and the periodic pattern of these two random walks and then we show that there exists Parrondo's paradox where each random walk has mean 0 but their random mixture and periodic pattern have negative or positive means. We describe the parameter sets at which Parrondo's paradox holds in each case.