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Study of Asian indexes by a newly derived dynamic model
Tsung-Jui Chiang-Lin1, Yong-Shiuan Lee2, Tzong-Hann Shieh3
1Department of Finance, Minghsin University of Science and Technology, Hsinchu, Taiwan.
Plos One
|May 2, 2022
Summary
This study introduces the new Price Reversion Model (nPRM) to analyze stock price dynamics using thermodynamics. The nPRM accurately characterizes and forecasts market values, offering economic insights into stock movements.
Area of Science:
- Financial econometrics
- Quantitative finance
- Thermodynamics applied to economics
Background:
- Stock price movements are complex and often analyzed using traditional financial models.
- A thermodynamic perspective offers a novel approach to understanding market dynamics and price equilibrium.
Purpose of the Study:
- To introduce and analyze the new Price Reversion Model (nPRM) for stock price dynamics.
- To develop a procedure for applying the nPRM to real-world stock index data.
- To provide economic interpretations of stock market behavior through thermodynamic analogies.
Main Methods:
- Derivation and analysis of the new Price Reversion Model (nPRM).
- Development of a procedure to apply the nPRM to daily closing prices of stock indexes.
- Empirical study involving ten Asian stock indexes.
Main Results:
- The nPRM provides a dynamic model for stock price movements.
- Time-varying coefficients in the nPRM offer economic interpretations (e.g., equilibrium price, speed of convergence/divergence).
- The model accurately characterizes and forecasts market values in empirical studies.
Conclusions:
- The nPRM offers a novel thermodynamic perspective on stock price analysis.
- The model demonstrates accuracy in characterizing and forecasting stock market values.
- The nPRM's coefficients provide meaningful economic insights into market behavior.
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