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Finance and Credit
 

Return and risk of swing trading

Vol. 23, Iss. 27, JULY 2017

PDF  Article PDF Version

Received: 18 January 2017

Received in revised form: 1 June 2017

Accepted: 22 June 2017

Available online: 27 July 2017

Subject Heading: Securities market

JEL Classification: G10, G11

Pages: 1614–1623

https://doi.org/10.24891/fc.23.27.1614

Dyudin M.S. Krasnodar Branch of Financial University under Government of Russian Federation, Krasnodar, Russian Federation
diudin.m@yandex.ru

Importance Swing trading aims to money making from deals lasting from one day to several weeks. Unlike day-trading, during this time in addition to stochastics, deterministic regularity has a great impact.
Objectives The paper aims to develop mathematical methods for measuring the profitability and risk of stock trade, taking into account the partly deterministic nature of the stock dynamics.
Methods I used the methods of fractal mathematics and non-linear dynamics.
Results The paper proposes to measure the risk of stock asset by a random component of its dynamics instead of the theoretical-probabilistic estimates and measure the yield by the range and average length of the aperiodic cycles.
Conclusions The proposed quantitative estimates of the profitability and risk of stock trade in terms of fluctuations provide more complete information on price developments relative to the existing probability rates.

Keywords: stock returns, fractal market, chaos theory, risk

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