Policy Cycles and Institutional Trends

2009 ◽  
pp. 40-59
Keyword(s):  
Open Physics ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 985-998
Author(s):  
Meng Ran ◽  
Zhenpeng Tang ◽  
Weihong Chen

Abstract The paper adopts the financial physics approach to investigate influence of trading volume, market trend, as well as monetary policy on characteristics of the Chinese Stock Exchange. Utilizing 1-minute high-frequency data at various time intervals, the study examines the probability distribution density, autocorrelation and multi-fractal of the Shanghai Composite Index. Our study finds that the scale of trading volume, stock market trends, and monetary policy cycles all exert significant influences on micro characteristics of Shanghai Composite Index. More specifically, under the conditions of large trading volumes, loose monetary policies, and downward stock trends, the market possesses better fitting on Levy’s distribution, the volatility self-correlation is stronger, and multifractal trait is more salient. We hope our study could provide better guidance for investment decisions, and form the basis for policy formulation aiming for a healthy growth of the financial market.


1988 ◽  
Vol 55 (1) ◽  
pp. 1 ◽  
Author(s):  
Kenneth Rogoff ◽  
Anne Sibert

Politics ◽  
2019 ◽  
Vol 40 (2) ◽  
pp. 207-226
Author(s):  
Andrew Q Philips

While the political budget cycle literature focuses on the manipulation of existing policies, an analysis of the impact of the passage of redistributive policies themselves remains absent. I contend that policy passage is a strategically timed signal to voters used before elections to benefit the incumbent. Using aggregate data on land reforms in India from 1957 to 1992, I find that reforms are indeed timed before elections. Second, using historical survey data, I show that land issues remain a strong signal to Indian voters over time, even in states that have already enacted reforms. These findings provide evidence for political policy cycles.


2005 ◽  
Vol 17 (2) ◽  
pp. 151-176 ◽  
Author(s):  
Marco Bonomo ◽  
Cristina Terra

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