A Study of the Real-Time Impact of Economic Policies on Financial Market Liquidity Based on Time Series Analysis Methods

Since the financial crisis, the economies of all countries have been affected by the recession triggered by global events, and the uncertainty brought by the changes in economic policies has also become a risky shock, and the uncertainty of economic policies has been climbing worldwide.This paper firstly briefly analyzes the mechanism of economic policy and financial market, in order to comprehensively study the changes of market economic liquidity, this paper starts from the return of the market economy, and adopts the symbolic time series analysis method to analyze the prediction of the financial market by taking the stock market as an example.Then construct the regression model, and then study the impact of economic policy uncertainty on market liquidity.The regression coefficient of economic policy uncertainty is 0.064, which is significant at 1% level.Secondly, when GDP growth rate and inflation level are added as control variables, the regression coefficient of economic policy uncertainty obtained is 0.108, which is still significant at 1% level, implying that a rise in economic policy uncertainty brings about a decline in market liquidity.This study provides an effective analytical tool for the impact of economic policies on market liquidity.It also provides a basis for the government to improve market liquidity and enhance market vitality.

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-03-30
DOI
https://doi.org/10.61091/jcmcc127a-466
Primary Topic
Evaluation and Optimization Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study of the Real-Time Impact of Economic Policies on Financial Market Liquidity Based on Time Series Analysis Methods

Journal of Combinatorial Mathematics and Combinatorial Computing
Evaluation and Optimization Models
article

A Study of the Real-Time Impact of Economic Policies on Financial Market Liquidity Based on Time Series Analysis Methods

article en

Abstract

Since the financial crisis, the economies of all countries have been affected by the recession triggered by global events, and the uncertainty brought by the changes in economic policies has also become a risky shock, and the uncertainty of economic policies has been climbing worldwide.This paper firstly briefly analyzes the mechanism of economic policy and financial market, in order to comprehensively study the changes of market economic liquidity, this paper starts from the return of the market economy, and adopts the symbolic time series analysis method to analyze the prediction of the financial market by taking the stock market as an example.Then construct the regression model, and then study the impact of economic policy uncertainty on market liquidity.The regression coefficient of economic policy uncertainty is 0.064, which is significant at 1% level.Secondly, when GDP growth rate and inflation level are added as control variables, the regression coefficient of economic policy uncertainty obtained is 0.108, which is still significant at 1% level, implying that a rise in economic policy uncertainty brings about a decline in market liquidity.This study provides an effective analytical tool for the impact of economic policies on market liquidity.It also provides a basis for the government to improve market liquidity and enhance market vitality.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127a
Openalex Percentile: Top 90%
Evaluation and Optimization Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.