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FINANCIAL SYSTEM WITH THE EFFECT FINACIAL INFORMATION

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FINANCIAL SYSTEM WITH THE EFFECT FINACIAL INFORMATION

ORDINARY APPLICATION

Published

date

Filed on 26 November 2024

Abstract

This study aims to investigate a financial system consisting of four ordinary differential equations associated with the rate of interest, investment demand, price index, and the density of financial information gained by the population. The equilibrium and local stability of the system are investigated numerically. The impact of saving amounts and the rate of investment demand increases after getting financial information on the system are discussed. The findings of the study are verified graphically. It is found that the system becomes stable if the rate of investment demand increases after getting financial information kept at a certain level, such that the savings amount is maintained at a higher level. Also, the bifurcation diagrams of the system for various significant parameters that affect the system’s stability have been depicted.

Patent Information

Application ID202441092060
Invention FieldCOMPUTER SCIENCE
Date of Application26/11/2024
Publication Number49/2024

Inventors

NameAddressCountryNationality
Dr. K. RangarajanSaveetha Institute Of Medical And Technical Sciences Saveetha Nagar, Thandalan Chennai Tamil Nadu India 602105 patents.sdc@saveetha.comIndiaIndia
Dr. M. GunaseelanSaveetha Institute Of Medical And Technical Sciences Saveetha Nagar, Thandalam Chennai Tamil Nadu India 602105IndiaIndia
Dr Ramya MohanSaveetha Institute Of Medical And Technical Sciences Saveetha Nagar,Thandalam Chennai Tamil Nadu India 602105 patents.sdc@saveetha.comIndiaIndia

Applicants

NameAddressCountryNationality
Saveetha Institute Of Medical And Technical SciencesSaveetha Institute Of Medical And Technical Sciences Saveetha Chennai Tamil Nadu India 602105 patents.sdc@saveetha.comIndiaIndia

Specification

The invention relates to the dynamics o f a financial system incorporating the effects o f financial information. It involves mathematical modeling to understand the behavior of financial variables such as interest rates, investment demand, price indices, and the. density o f financial information in a
population.
BACKGROUND OF THE INVENTION
In recent years, the study of financial systems has gained significant attention due to their complex and often chaotic behavior, influenced by factors such as interest rates, investment demand, price indices, and savings. Traditional models have explored these elements using nonlinear dynamics and various control strategies, such as time-delay feedback and bifurcation analysis, to understand conditions that lead to stability or instability. However, these models have largely overlooked the role of financial information- its dissemination and impact on investor behavior-within the population. Understanding how financial information affects a system's stability is crucial, as it can significantly alter investment demand and savings behavior. This study aims to address this gap by incorporating a new variable representing the density of financial information in the population, analyzing its effects on the dynamics and stability of a financial system, and ultimately offering insights into maintaining market stability through informed decision-making.
SUMMARY OF THE INVENTION
This study introduces a financial model comprising four ordinary differential equations representing the rate of interest, investment demand, price index, and the density of financial information in the population. The model examines the equilibrium and local stability of the financial system under various conditions. The findings indicate that maintaining a high level of savings and controlling the rate of increase in investment demand, after obtaining financial information, contributes to the system's stability. The study also uses bifurcation diagrams to illustrate how different parameters affect the system's stability. The results suggest that both the saving amount and the dissemination of financial information significantly impact the dynamics and stability of the financial system.



The invention introduces a mathematical model of a financial system consisting of four ordinary differential equations. These equations represent the dynamic interactions among the interest rate, investment demand, price index, and the density of financial information within a population.
Role of Financial Information: A new state variable is introduced to represent the density of financial information available to the population. The model examines how changes in this variable, along with other key economic parameters like savings amounts and rates of investment demand, influence the stability of the financial system. '
Stability Analysis: The model provides a comprehensive stability analysis by identifying equilibrium points and evaluating their local stability using numerical methods and bifurcation diagrams. It investigates the conditions under which the system remains stable or becomes chaotic, particularly focusing on the impact of savings levels and financial information dissemination.
Policy Implications: The findings suggest that maintaining an appropriate level of savings and controlling the rate of investment demand increase- after receiving financial information-are crucial for ensuring system stability. The invention offers insights into how policymakers and financial regulators can use these parameters to stabilize financial markets and prevent chaotic behavior.

A Financial System Model Incorporating Information Dynamics: We claim a novel financial system model represented by a set of four ordinary differential equations, which account for the interactions between interest rates, investment demand, price indices, and the density of financial information within a population.
2. Introduction of a New Variable for Financial Information: We claim the introduction of a state variable representing the density of financial information among a population, enabling the model to quantify and analyze the impact of information dissemination on financial stability and market dynamics. 3. Method for Analyzing Stability Using Numerical Techniques: We claim a method for analyzing the stability of the financial system through the identification of equilibrium points and the use of numerical techniques such as bifurcation diagrams to understand how different parameters affect the system's stability.
4. Application to Policy and Financial Decision-Making: We claim the applicability of this model for guiding policy decisions by identifying conditions under which financial systems can be stabilized, specifically through managing savings levels and investment demand in response to financial information.
5. Enhanced Understanding of Market Dynamics Through Information Flow: We claim that this model provides a unique perspective on how the flow and density of financial information among investors can significantly alter market dynamics, offering new insights into the management of chaotic and unstable behaviors in financial systems.

Documents

NameDate
202441092060-Form 1-261124.pdf29/11/2024
202441092060-Form 18-261124.pdf29/11/2024
202441092060-Form 2(Title Page)-261124.pdf29/11/2024
202441092060-Form 3-261124.pdf29/11/2024
202441092060-Form 5-261124.pdf29/11/2024
202441092060-Form 9-261124.pdf29/11/2024

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