Securitized markets,international capital flows,and global welfare

We study the effect of collateralized lending and securitization on international capital flows and welfare in a two-country general equilibrium model with idiosyncratic investment risk. The low-margin country (Home) endogenously supplies more safe assets and enables more risk sharing. Upon financial integration, capital flows from Foreign (high-margin country) to Home, leading to lower interest rates and a larger global supply of safe assets. Unlike in standard models with partial equity issuance, in our model, Home can lose from financial integration due to the endogenous reduction in risk sharing and aggregate shocks can generate large gross capital flows.     

Probability weighting and default risk: a possible explanation for distressed stock puzzles

This paper suggests incorporating investor probability weighting and the default risk of individual firms into a consumption-based asset pricing model. The extended model provides a unified explanation for several anomalous patterns observed in financial markets. The analysis addresses not only widely recognized asset pricing puzzles, such as the equity premium puzzle, but also less-studied anomalies on financially distressed stocks. The simulation, under which the model is calibrated according to U.S. historical data, shows that a combination of mild overweighting of probability on tail events and nonlinearity of equity values caused by default risk has the potential to resolve these patterns.     

Fat tails and spurious estimation of consumption‐based asset pricing models

The standard generalized method of moments (GMM) estimation of Euler equations in heterogeneous‐agent consumption‐based asset pricing models is inconsistent under fat tails because the GMM criterion is asymptotically random. To illustrate this, we generate asset returns and consumption data from an incomplete‐market dynamic general equilibrium model that is analytically solvable and exhibits power laws in consumption. Monte Carlo experiments suggest that the standard GMM estimation is inconsistent and susceptible to Type II errors (incorrect nonrejection of false models). Estimating an overidentified model by dividing agents into age cohorts appears to mitigate Type I and II errors.     

Applying Multiattribute-Based Group Decision Making Techniques in Complex Equipment Selection Tasks

A practicing industrial engineer, even an experienced decision maker, needs help in the sense that there is a necessity to use more logical or analytical decision support tools, especially when dealing with control and instrumentation projects which are often worth millions of dollars. In this article we propose an algorithm which can support the process of group decision making relating to industrial automation, especially involving the selection of control and instrumentation equipment. The aim of this article is to look only at the algorithm's application and how it is applied. To this end, two test cases are used as examples: (1) selecting a local area network for installation in an academic environment; and (2) selecting an integrated control system for a real-world pulp and paper mill. Obtained results show that the algorithm leads to a satisfactory solution. A software form of the algorithm is being programmed for use as a decision support tool.     

Inbound tourism policies in Japan from 1859 to 2003

This paper aims to clarify the development process of the inbound tourism policies of Japan from 1859 to 2003. Evolving through five periods and ten phases, policies have been variously promoted to obtain foreign currencies and break the country’s isolation at the earliest stage, to make it a peaceful and cultured nation via international exchanges and friendship after the Pacific War, and, more recently, to contribute to its economic revitalization in recession. The relationships between inbound and national land policies, as well as nonstructural aspects such as promotion, advertising, and services, are also examined.     

Pricing Commodity Spread Options with Stochastic Term Structure of Convenience Yields and Interest Rates

The purpose of this research is to provide a valuation formula for commodity spread options. Commodity spread options are options written on the difference of the prices (spread) of two commodities. From the aspect of commodity contingent claims, it is considered that commodity spread options are difficult to evaluate with accuracy because of the existence of the convenience yield. Hence, the model of the convenience yield is the key factor to price commodity spread options. We use the concept of future convenience yields to develop the model that enriches the stochastic behavior of convenience yield. We also introduce Heath-Jarrow-Morton interest rate model to the valuation framework. This general model not only captures the mean reverting feature of the convenience yield, but also allows us to handle a very wide range of shape that the term structure of convenience yield can take. Therefore our model provides various types of models. The numerical analysis presented in this paper provides some unique features of commodity spread options in contrast to normal options. These characteristics have never been addressed in previous studies. Moreover, it suggests that the existing model overprice commodity spread options through neglecting the effect of interest rates.     

Money,growth, and the stability of the steady state under myopic perfect foresight

The stability of a monetary growth model is demonstrated. It differs from the standard two- asset model in the presence of interest bearing government debt, the endogenous determination of the money supply and an investment function that is sensitive to interest rates and disposable income.