We explore how changes in ownership and managerial control affect the productivity and profitability of producers. Using detailed operational, financial, management, and ownership data from the Japanese cotton spinning industry at the turn of the last century, we find a more nuanced picture than...

A smoothing spline is considered to propose a novel model for the time-varying quantile of the univariate time series using a state space approach. A correlation is further incorporated between the dependent variable and its one-step-ahead quantile. Using a Bayesian approach, an efficient Markov...

　　 The realized stochastic volatility model of Takahashi, Omori, and Watanabe (2009), which incorporates the asymmetric stochastic volatility model with the realized volatility, is extended with more general form of bias correction in realized volatility and wider class...

Mitsubishi Corporation (Mitsubishi Shoji), a trading company under Mitsubishi Zaibatsu, increased its sales rapidly in the 1920s and 1930s, and threatened to catch up with Mitsui & Co. (Mitsui Bussan), the largest trading company in prewar Japan. In this paper, we constructed the data that...

In the late 1940s, the Japanese economy transited to a market economy from an economy under the government planning and control, which had continued since the period of the Sino-Japanese War. This paper explored the impact of the transition on the micro-aspect of the economy, focusing on the...

　　 A multivariate stochastic volatility model with dynamic equicorrelation and cross leverage effect is proposed and estimated. Using a Bayesian approach, an ecient Markov chain Monte Carlo algorithm is described where we use the multi-move sampler, which generates multiple latent...

A multivariate stochastic volatility model with dynamic equicorrelation and cross leverage effect is proposed and estimated. Using a Bayesian approach, an ecient Markov chain Monte Carlo algorithm is described where we use the multi-move sampler, which generates multiple latent variables...

A multivariate stochastic volatility model with the dynamic correlation and the cross leverage effect is described and its efficient estimation method using Markov chain Monte Carlo is proposed. The time-varying covariance matrices are guaranteed to be positive definite by using a matrix...

A multivariate stochastic volatility model with the dynamic correlation and the cross leverage effect is described and its efficient estimation method using Markov chain Monte Carlo is proposed. The time-varying covariance matrices are guaranteed to be positive definite by using a matrix...

　　 A multivariate stochastic volatility model with the dynamic correlation and the cross leverage effect is described and its efficient estimation method using Markov chain Monte Carlo is proposed. The time-varying covariance matrices are guaranteed to be positive denite by using a...