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Market efficiency and government interventions in prewar Japanese rice futures markets

Published online by Cambridge University Press:  16 February 2017

Mikio Ito
Affiliation:
Keio University
Kiyotaka Maeda
Affiliation:
Seinan Gakuin University
Akihiko Noda*
Affiliation:
Kyoto Sangyo University
*
Corresponding author: A. Noda, Faculty of Economics, Kyoto Sangyo University, Motoyama, Kamigamo, Kita-ku, Kyoto 603-8555, Japan; email: noda@cc.kyoto-su.ac.jp;
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Abstract

This study analyzes how the colonial rice trade in prewar Japan affected its rice market, considering several government interventions in the two rice futures exchanges in Tokyo and Osaka. We explore the interventions in the futures markets using two procedures. First, we measure the joint degree of efficiency in the markets using a time-varying vector autoregression model. Second, we examine historical events that possibly affected the markets and focus on one event at a time. The degree of efficiency varies over time within our sample period (1881-1932). The observation, together with historical analysis, leads to the following conclusions: (1) the two major markets in Tokyo and Osaka were nearly efficient; (2) government interventions involving the delivery of imported rice from Taiwan and Korea often reduced futures market efficiency; finally, (3) this relationship continued as long as the quality difference between imported and domestic rice existed. The government interventions that promoted domestic distributions of the colonial goods resulted in confusion in the commodity markets, and decreased efficiency of the markets in the metropole.

Information

Type
Articles
Copyright
Copyright © European Association for Banking and Financial History e.V. 2017 
Figure 0

Figure 1. Spot prices in Tokyo and Osaka rice markets

Note: R version 3.3.2 was used to compute the statistics.
Figure 1

Table 1. Government interventions in the rice futures exchange

Figure 2

Figure 2. Futures prices in Tokyo and Osaka rice markets

Note: R version 3.3.2 was used to compute the statistics.
Figure 3

Table 2. Descriptive statistics and unit root tests

Figure 4

Table 3. Time-invariant VAR estimations

Figure 5

Figure 3. The time-varying degree of market efficiency

Notes:(1) The dashed lines represent the 95% confidence bands of the time-varying spectral norm in the case of an efficient market.(2) We ran bootstrap sampling 5000 times to calculate the confidence bands.(3) R version 3.3.2 was used to compute the estimates.