This paper proposes a brand-level forecasting model that incorporates both first purchase diffusion and the replacement component in sales. The model consists of a two-stage procedure in which customers are presented with purchase occasions according to a diffusion process or replacement...

Testing the existence of unit root and/or level change is necessary in order to understand the underlying processes of time series. In many studies carried out so far, the focus was only on a single aspect of unit root and level change, therefore limiting a full assess to the given problems. Our...

We propose a framework covering multi-country and multi-generation diffusion processes. Our model focuses on choice-based diffusion model and we extend the model to incorporate heterogeneity of country. We decompose the choice probability for generation into two components; the first one is...

Investing in micro-loan market has become one of the most famous instrument in alternative finance due to the fact that its rate of return is comparable to other risky financial instruments and it places investors in the position of philanthropists and induce “enjoyment”. In terms of...

Consumer's preference structure varies across product categories. For some durable goods, such as laptops and smartphones, consumers tend to distinguish a product from its competing ones by differences in several features ordered in their importance. Under this preference tructure, so called...

In preceding research, an assumption about the independence of interpurchase time was made. Interpurchase time was assumed to be extracted independently from a particular distribution. However, autocorrelation is observed in interpurchase time and about 30% of the individuals' interpurchase time...

In order to explain the U-shaped pattern of autocorrelations of stock returns i.e., autocorrelations starting around 0 for short-term horizons and becoming negative and then moving toward 0 for long-term horizons, researchers suggested the use of a state-space model consisting of an I(1)...

Inconsistent data frequency is a common problem in many research fields; therefore, it should be handled before a particular study is well under way. Many novel ideas including disaggregation techniques, which are the major interest of this study, have been suggested to mitigate the nuisances of...

A direct utility approach can handle multiple discrete/continuous choice outcomes. However, there is a trade-off between allowing correlations between unobserved perceived qualities of two alternatives and computational burden. If we allow the correlations, then we have to do numerical...

The state space model is widely used to handle time series data driven by related latent processes in many fields. In this article, we suggest a framework to examine the relationship between state space models and ARIMA models by examining the existence and positive-definiteness conditions...