The Impact of Postponing the Olympics on Stock Markets

International Advances in Economic Research - This study investigates how stock markets reacted to the postponement of the Tokyo Olympic Games, which were scheduled to be held in 2020. After the...     

Asymmetric dynamics in correlations of treasury and swap markets: Evidence from the US market

Using the asymmetric dynamic conditional correlation (A-DCC) model developed by Cappiello et al. (2006), this paper empirically analyzes the conditional correlation between treasury and swap markets from February 9, 2006 to May 31, 2011, and makes two key contributions. First, the dynamics of the conditional correlation of only the 2-year maturity differs from those of other maturities. These patterns might be explained by the fact that a 2-year maturity is easily affected by market forecasts of monetary policy changes by the Federal Reserve Board. Second, the financial crisis dummies (ξ₁) are all negative in particular with significance at the 5% level for 7 year, 10 year, and 30 year maturities. This result indicates that arbitrage transactions between treasuries and swaps have not taken place on a sufficient scale during the financial crisis period. As Ito (2010) points out, market participants have been uncertain about the direction of the monetary policies of these financial institutions.     

An Asymptotic Expansion Approach to Currency Options with a Market Model of Interest Rates under Stochastic Volatility Processes of Spot Exchange Rates

This paper proposes an asymptotic expansion scheme of currency options with a libor market model of interest rates and stochastic volatility models of spot exchange rates. In particular, we derive closed-form approximation formulas for the density functions of the underlying assets and for pricing currency options based on a third order asymptotic expansion scheme; we do not model a foreign exchange rate’s variance such as in Heston [(1993) The Review of Financial studies, 6, 327–343], but its volatility that follows a general time-inhomogeneous Markovian process. Further, the correlations among all the factors such as domestic and foreign interest rates, a spot foreign exchange rate and its volatility, are allowed. Finally, numerical examples are provided and the pricing formula are applied to the calibration of volatility surfaces in the JPY/USD option market.     

A New Computational Scheme for Computing Greeks by the Asymptotic Expansion Approach

We developed a new scheme for computing “Greeks” of derivatives by an asymptotic expansion approach. In particular, we derived analytical approximation formulae for Deltas and Vegas of plain vanilla and average European call options under general Markovian processes of underlying asset prices. Moreover, we introduced a new variance reduction method of Monte Carlo simulations based on the asymptotic expansion scheme. Finally, several numerical examples under CEV processes confirmed the validity of our method.     

Business cycle turning points based on DEA-discriminant analysis

Recently, the turning points of business cycle are decided with wide viewpoints after passing a couple of years from the points. This study tries to develop a model for judging the turning points in real-time by using a non-parametric approach, DEA-discriminant analysis, because we have sometimes faced sudden changes of economy and non-parametric approaches are useful for covering these movements. The constructed model succeeds to separate periods in Japanese economic expanding and recession terms, and the model would be helpful for the real-time judgments of the turning points of business cycle.     

The size distribution of ‘cities’ delineated with a network theory‐based method and mobile phone GPS data

We delineate “cities” independent of administrative boundaries in Japan by using a network theory‐based method and GPS‐based human mobility data. We divide the country into approximately 1 × 1 km² cells and detect the partition of cells that is optimal from the perspective of information theory. The resulting groups of cells are specified as cities. We find that the combination of two lognormal distributions better fits the city‐size distribution than a distribution with a Pareto upper tail. Moreover, we show that a jump diffusion process is the stochastic process of the city population underlying such a distribution.     

Nash equilibrium and party polarization in an electoral model with mixed motivations

We study the existence problem of Nash equilibrium as well as the patterns of equilibrium policy outcomes in an electoral competition model with mixed motivations. Each party maximizes a sum of party members’ expected utility and office rent. The inclusion of office rent renders the payoff of each party discontinuous. This makes it difficult to apply usually fixed point arguments to prove the existence of Nash equilibria. By using a recently developed concept, multiple restrictional security (MR‐security) we provide conditions under which a pure‐strategy Nash equilibrium exists within fairly general settings, and further the analysis by presenting conditions under which various patterns of policy choices, including polarization, arise in equilibrium.     

On the trade,growth, and welfare effects of intellectual property rights protection

To examine how intellectual property rights protection affects trade, growth, and welfare, I develop a two-country R&D-based growth model in which final goods firms in both countries determine the range of imported varieties in the overall use of intermediate inputs. I show that strengthening patent protection in either country increases the range of imported varieties of intermediate goods and stimulates economic growth in the country that strengthened patent protection. Moreover, I also show that the Nash equilibrium level of patent protection is stronger than the globally optimal level of patent protection.     

A Practical Teacher–Robot Collaboration Lesson Application Based on PRINTEPS

To support elementary school teachers in teaching by encouraging active learning while maintaining the interest of pupils, this study focuses on supporting teaching, learning, and monitoring the progress of students through a Teacher–Robot collaboration lesson application using not only laptops and tablets, but also robots and sensors. Since developing a lesson application is time consuming for teachers, we have developed an integrated intelligent application development platform named PRactical INTElligent aPplicationS (PRINTEPS) to aid Teacher–Robot collaboration. However, several functions and interfaces for education are missing. Therefore, in this study, we extend several functions for education to PRINTEPS. In addition, since it is necessary in learning and monitoring the progress of students to present learning content suitable to each pupil’s level of understanding, we also have provided support through the use of a tablet quiz system based on ontologies and rule bases. In the case study, we developed a Teacher–Robot collaboration lesson application and conducted lessons for sixth-grade pupils at an elementary school. From the case study, we have confirmed the effectiveness of our platform and the application.