The Effect of Monetary Policy on Monthly and Quarterly Stock Market Returns

Author(s):  
J. Benson Durham
2021 ◽  
pp. 1-21
Author(s):  
Tzu-Yi Yang ◽  
Phan Van Hung ◽  
Chia-Jui Chang ◽  
Nguyen Phuc Nguyen

This paper estimates the smooth transition autoregressive model with exogenous variables to evaluate the effects of stock market returns on the exchange-traded funds’ (ETFs) returns in China with reserve requirement ratio (RRR) from monetary policy as a transition variable. The sample used in this study lasts from March 4, 2005 to June 30, 2017. The empirical result points out that there is the effect of RRR value on the relationship between stock market returns and ETF return. Moreover, these effects are variable depending on the conversion and its changes over time in different variations of threshold intervals. Lastly, the larger the change of China’s stock market variables’ lag period, the smaller the impacts on Chinese ETF return.


2009 ◽  
pp. 145-180
Author(s):  
Oreste Napolitano

This paper explore, using Markov switching models, the dynamic relationship between stock market returns and the monetary policy innovation in 11 EUM countries and, for five of them, at each single industry portfolios. It also investigates the possibility of asymmetric effects of the ECB decision when stock markets are not fully integrated. The findings indicate that there is statistically significant relationship between policy innovations and stock markets returns. The findings from country size and industry portfolios indicate that monetary policy has larger asymmetric effect on the industry portfolios of big countries (Italy, France and Germany) compared to the same sectors of small countries (Netherlands and Belgium).


2019 ◽  
Vol 9 (36) ◽  
pp. 75-126
Author(s):  
Qholamreza Rezaei ◽  
Hamid Shahrestani ◽  
Kambiz Hozhabre kiani ◽  
Mohsen Mehrara ◽  
◽  
...  

2020 ◽  
Vol 37 (4) ◽  
pp. 777-798
Author(s):  
Jessica Paule-Vianez ◽  
Camilo Prado-Román ◽  
Raúl Gómez-Martínez

Purpose This paper aims to examine the impact that monetary policy uncertainty (MPU) has on stock market returns by taking into account limits to arbitrage and the economic cycle. Design/methodology/approach Using four news-based MPU measures, regression models have been applied in this study over a sample period from January 1985 to March 2020. The limits to arbitrage have been considered by taking Russell 1000 Value, Russell 1000 Growth, Russell 2000 Value and Russell 2000 Growth indices, and business cycles were established following the National Bureau of Economic Research. Findings A negative MPU impact on stock returns has been found. In particular, the most subjective and difficult to arbitrate stocks have been more sensitive to MPU. However, it could not be concluded that MPU has a greater or lesser impact on stock returns depending on the economic cycle. Practical implications The findings obtained are particularly useful for monetary policymakers showing the importance and need for greater control over the transparency of their decisions to maintain the stability of financial markets. The findings obtained are also useful for investors when selecting their investment assets at times of the highest MPU. Originality/value To the best of the authors’ knowledge, this is one of the few studies investigating the effect of MPU on stock market returns, and the first to analyse this relationship taking into account the economic cycle and limits to arbitrage.


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