Analyzing the Long Term Cohesive Effect of Sector Specific Driving Forces

Area of Science:

• Quantitative Finance
• Financial Market Analysis
• Econometrics

Background:

• Financial markets exhibit sectors influenced by external drivers such as commodity prices and infrastructure indices.
• Understanding the statistical properties of these sectors is crucial for risk assessment.

Purpose of the Study:

• To develop and validate a novel model for the coupling between stock prices and dominant external driving forces.
• To explain the long-term behavior of market sectors and quantify the coupling strength.

Main Methods:

• Characterization of statistical properties of market sectors.
• Development of a novel model inspired by mean-reverting stochastic processes.
• Application and validation of the model on specific markets (shipping, gold mining, food production).

Main Results:

• The proposed model successfully explains the long-term behavior of market sectors.
• Quantified the coupling strength between stock prices and sector-specific driving forces.
• Demonstrated successful application to the shipping market (influenced by Baltic Dry Index), gold mining, and food production markets.

Conclusions:

• The model provides a generalizable tool for characterizing the coupling between external forces and financial variables.
• Enables estimation of sector-specific risk and vulnerability to external economic stress.
• Offers insights into market dynamics driven by external factors.