This paper presents a general review related to the problem of three­dimensional objects’ reconstruction from range data images. It descr ibes the problem and reviewed the main areas of concern in each of the intermediate steps that make up the overall process of sur faces reconstruction with the most impor tant works in the area cover ing a wide var iety of techniques and models propos...

The global financial crisis hastened the development of the Shenzhen GEM is a venture capital a key link in the chain, force the development of SME financing difficulty in resolving the issue. In view of the characteristics and specific risks of Growth Enterprise Market (GEM), this paper measures the market risk of 28 listed companies on the GEM by use of VaR techniques, and introduces VaR into...

We present a TM system that executes transactions without ever causing any aborts. The system uses a set of t-var lists, one for each transactional variable. A scheduler undertakes the task of placing the instructions of each transaction in the appropriate t-var lists based on which t-variable each of them accesses. A set of worker threads are responsible to execute these instructions. Because ...

In this paper, we compare the point of view of the regulator and the investors about the required solvency level of an insurance company. We assume that the required solvency level is determined using the Tail-Value at Risk and analyze the diversification benefit, both on the required capital and on the residual risk, when merging risks. To describe the dependence structure, we use a range of v...

In quantitative risk management, it is important and challenging to find sharp bounds for the distribution of the sum of dependent risks with given marginal distributions, but an unspecified dependence structure. These bounds are directly related to the problem of obtaining the worst Value-at-Risk of the total risk. Using the idea of the complete mixability, we provide a new lower bound for any...

This chapter reviews the recent developments of Value at Risk (VaR) estimation. In this survey, the most available univariate and multivariate methods are presented. The robustness and accuracy of these estimation methods are investigated based on the simulated and real data. In the backtesting procedure, the conditional coverage test (Christoffersen 1998), the dynamic quantile test (Engle and ...

Choosing a proper external risk measure is of great regulatory importance, as exemplified in the Basel II and Basel III Accords, which use value-at-risk with scenario analysis as the risk measures for setting capital requirements. We argue that a good external risk measure should be robust with respect to model misspecification and small changes in the data. A new class of data-based risk measu...

The banking systems that deal with risk management depend on underlying risk measures. Following the recommendation of the Basel II accord, most banks have developed internal models to determine their capital requirement. The Value at Risk measure plays an important role in computing this capital. In this paper we analyze in detail the errors produced by the use of this measure. We then discuss...