Optimal Hedging of Basket Barrier Options with Additive Models and Its Application to Equity Value Separation Problem

At the heart of optimal hedging with additive models in Yamada (Recent advances in financial engineering: proceedings of the KIER-TMU international workshop on financial engineering, World Scientific, pp 225–245, 2010; Proceedings of the 2011 American control conference, pp 3856–3861, 2011; Asia-Pac Financ Mark 19(2):149–179, 2012) is to replicate the payoff of European basket options using separate options as close as possible. In this paper, we extend their technique for the case of path-dependent barrier options, where the mean square error of the payoffs between the basket barrier option and the sum of options on the individual assets is minimized over any smooth payoff functions. To this end, we propose to represent the underlying assets using the Brownian bride decomposition and show that computations involving conditional expectations of basket barrier options boil down to those of unconditional expectations. This procedure enables us to provide an algorithm to compute the necessary and sufficient condition for the optimal hedging problem based on the Monte Carlo method. Then, we consider to apply our methodology to the Black–Cox type first passage time structural model, where a defaultable company possesses/runs multiple assets/projects and the default may occur the first time the asset value hits a certain lower threshold before the maturity. We formulate the equity value separation problem using additive models, in which individual equity values are introduced so that their sum approximates the total equity value as close as possible. It is also shown that any portion of total equity value may be assigned as an initial value of each individual equity when using the optimal smooth functions. Finally, we examine the contributions of individual equity values to default or survival by applying a certain normalization for conditional expectations via numerical experiments to illustrate our proposed methodology.     

淮南市大通区耕地地力评价及其利用

该文以淮南市大通区第二次土壤普查资料和测土配方施肥数据为基础,在GIS和计算机技术的支持下,利用层次分析法对大通区耕地地力进行了评价,得出大通区各地力等级比例分别为一等地为16.2％,二等地为41.6％,三等地为28.6％,四等地为9.1％,五等地为4.5％.并结合研究区实际情况对不同等级耕地进行了描述性分析,探索性地提出了耕地的利用方式和改良措施.     

CAN INFORMATION AND COMMUNICATION TECHNOLOGY IMPROVE STOCK MARKET EFFICIENCY? A CROSS‐COUNTRY STUDY

The rapid advance of information and communication technology (ICT) has revolutionized the dissemination of stock market information. Based on the noise trading theory, this study discusses whether the changes brought by ICT have promoted the transparency of stock market information or instead flooded the stock market with misinformation. A cross‐country panel dataset of 71 countries from 2002 to 2014 was established. The empirical methodologies include panel unit root tests, panel variance ratio tests, and panel multiple regressions. The results of panel unit root tests and panel variance ratio tests show that stock markets in countries with high ICT diffusion are efficient while stock markets in countries with low or medium ICT diffusion are not all efficient. The results of panel regressions further show that the effect of ICT diffusion in reducing market noises was more significant than its effect in magnifying the noises.     

A simulation analysis of systemic counterparty risk in over-the-counter derivatives markets

Journal of Economic Interaction and Coordination - In this paper, we propose a simulation framework to assess systemic risk in over-the-counter derivatives markets. We incorporate credit valuation...     

Optimal Hedging of Prediction Errors Using Prediction Errors

Wind power energy has been paid much attention recently for various reasons, and the production of electricity with wind energy has been increasing rapidly for a few decades. One of the most difficult issues for using wind power in practice is that the power output largely depends on the wind condition, and as a result, the future output may be volatile or uncertain. Therefore, the prediction of power output in the future is considered important and is key to electric power generating industries making the wind power electricity market work properly. However, the use of predictions may cause other problems due to “prediction errors.” In this work, we will propose a new type of weather derivatives based on the prediction errors for wind speeds, and estimate their hedge effect on wind power energy businesses. At first, we will investigate the correlation of prediction errors between the power output and the wind speed in a Japanese wind farm, which is a collection of wind turbines that generate electricity in the same location. Then we will develop a methodology that will optimally construct a wind derivative based on the prediction errors using nonparametric regressions. A simultaneous optimization technique of the loss and payoff functions for wind derivatives is demonstrated based on the empirical data.     

Does Founders' Human Capital Matter for Innovation? Evidence from Japanese Start‐ups

Using an original questionnaire survey, this paper explores whether and how founders' human capital affects the innovation outcomes of start‐ups. We found that founders with greater human capital are more likely to yield innovation outcomes. Because certain types of human capital may boost research and development (R&D) investment, which possibly results in innovation outcomes, we estimate the determinants of innovation outcomes by an instrumental variable probit model. Our findings suggest that specific human capital for innovation, such as prior innovation experience, is directly associated with innovation outcomes, whereas generic human capital, such as educational background, indirectly affects innovation outcomes through R&D investment.     

Migrant smuggling when exploitation is private information

This study contributes to the small theoretical literature on human smuggling by assuming for the first time asymmetric information in analysis. The assumption raises the possibility of an adverse selection equilibrium where only exploitative smugglers are employed at a low fee even though migrants are willing to pay non‐exploitative smugglers a high fee. More important, I find that improved inland apprehension of migrants may increase the incidence of migrant exploitation while failing to decrease smuggling attempts. Furthermore, improved border apprehension of migrants and smugglers may not affect the market at all.     

AGING AND SAVING IN ASIA

In this paper, I analyse the impact of population aging on saving in Asia (with emphasis on Japan and China) and obtain the following findings: population aging will lead to declines in household, private, government and national saving rates, but to the extent that population aging is accompanied by absolute declines in population, investment rates will also decline. Moreover, countries always have the option of borrowing from abroad because all countries, even within the Asian region, will presumably not show simultaneous declines in saving. Therefore, the decline in saving caused by population aging will not necessarily spell disaster.     

Quantum information and accounting information: Exploring conceptual applications of topology

Our previous attempt resulted in a paper by the same five authors, “Quantum information and accounting information: their salient features and conceptual applications,” published in the July–August 2006 issue of the Journal of Accounting and Public Policy. We now extend the previous paper to examine topological quantum computation, a remarkably innovative approach to decoherence and imprecise quantum computation. In this approach, exotic topological states are created for a natural medium to store and manipulate quantum information globally throughout the entire system. The process is intrinsically protected against imprecision and decoherence. We also explore conceptual, if not technical, applications of topological quantum computation to accounting. This is done by introducing topology’s inherent emphasis of qualitative characteristics to traditional accounting which has been dominated by quantitative characteristics. Here, financial statements’ monetary amounts may be contrasted to internal controls’ error frequencies. Part I of the paper deals with applications of topology to quantum information, after a brief introduction to basic tools. In particular the use of Fibonacci anyon and its powerful results are explained. Part II deals with applications of topology to accounting information. Part III deals with applications of topology to other potential fields.     

Tenure choice and housing demand in Japan

This paper reports the results of an empirical analysis of tenure choice and housing demand that makes use of household-level data from Japan. The paper finds that the price and permanent-income elasticities of demand for owneroccupied housing are approximately −0.8 and 1.4, respectively, and that these estimates are highly robust. The price elasticity estimate is comparable to those for other countries, but the income elasticity estimate is much higher, possibly because of the greater accuracy of the income variable. It is also found that the tenure choice and housing demand decisions are apparently not made simultaneously.