Background <p>The stability of the money demand function is crucial in formulating an effective monetary policy, with monetary aggregates playing a vital role in fulfilling monetary goals for countries.</p> Objectives <p>This study conducted empirical research to find a stable money demand function. The study’s novelty comes from adding precautionary motive determinants in the money demand function.</p> Methods <p>Data of 85 nations is used. Parameters from all three motives of demand for money are used in this study. Gross National Income and Consumer Price Index are used for transactionary motive, Interest rate and Exchange rate are used for the speculative motive and precautionary motive, Political Stability and Health Vulnerability from Climate Change were utilized. The research applies the Panel Quantile Autoregressive Distributed Lag model.</p> Findings <p>Empirical findings suggest that all the determinants are significant in the long run, with all the parameters showing a significant positive relationship with money demand, except interest rate.</p> Implications <p>This new function could help in optimizing the monetary policy to change money demand.</p>

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Estimation of climate change augmented precautionary motive demand for money under extreme values

  • Muhammad Kumail,
  • Mubbasher Munir,
  • Noman Arshed

摘要

Background

The stability of the money demand function is crucial in formulating an effective monetary policy, with monetary aggregates playing a vital role in fulfilling monetary goals for countries.

Objectives

This study conducted empirical research to find a stable money demand function. The study’s novelty comes from adding precautionary motive determinants in the money demand function.

Methods

Data of 85 nations is used. Parameters from all three motives of demand for money are used in this study. Gross National Income and Consumer Price Index are used for transactionary motive, Interest rate and Exchange rate are used for the speculative motive and precautionary motive, Political Stability and Health Vulnerability from Climate Change were utilized. The research applies the Panel Quantile Autoregressive Distributed Lag model.

Findings

Empirical findings suggest that all the determinants are significant in the long run, with all the parameters showing a significant positive relationship with money demand, except interest rate.

Implications

This new function could help in optimizing the monetary policy to change money demand.