Futures and forward price differential and the effect of marking‐to‐market: Australian evidence

The objective of this paper is to examine the effects of marking‐to‐market of futures contracts on the price differential between futures and forward contracts based on the predictions of the Cox, Ingersoll and Ross (1981) (CIR) model. Cox et al ., (1981) derive a series of propositions with respect to the relationship between futures and forward prices and a set of testable implications. These are tested empirically in this paper using Australian data from November 1991 to June 1997. The results provide evidence of the presence of significant futures and forward price differences, where the futures price is consistently below the forward price. Only partial support is found for the Cox et al ., (1981) propositions, implying that the effect of marking‐to‐market is not able to fully account for the price differential. Therefore, it is not possible to rule out the influence of other institutional factors on the futures‐forward price difference.     

Use of Statistics in the Monetary Policy of the Czech National Bank: The Case of a Country in Transition

In the presented text the authors judge the importance of statistics in the monetary policy of the Czech National Bank (CNB) over the course of the economic transformation process, with particular consideration of changing statistical needs and the possibilities and limits of statistical data exploitation in the monetary analyses. The importance of statistics lies on the level of collection and processing of statistical information and on the level of use of statistical methods to analyse data. Since the start of the 1990s the requirements for statistics were significantly influenced by monetary policy. In the period 1990–1997, monetary targeting was the primary influential factor. Since 1998, the monetary policy is influenced by inflation targeting. Statistical priorities switched from monetary data to economy and financial market data. Much progress has been made in the use of statistical methods for analysing data. Statistics available at present cover the CNB's standard monetary-policy requirements and are on par with those in developed countries. Its further development will reflect the standard changes taking place in the more advanced countries.     

商业银行资产负债结构与流动性风险控制

流动性风险产生的实质是由于资产、负债的不匹配所导致的。因此,合理调整资产负债结构,能有效地控制流动性风险。     

存货计价会计舞弊行为的审计

作为费用成本核算链上的重要一环——存货，是企业流动资产中占用比例最大、流动性最弱的项目。其种类繁多，收发频繁，经历采购、入库、保管、领发、使用等一些列生产经营过程，在企业滞留时间长，核算使用的账户多，内部流转和结算关系复杂，利用存货虚增资产、虚减税金、虚计损益的舞弊极易形成，而存货核算舞弊的手段之一便是利用存货计价的可选择性进行账户调节。因此，通过专门的审计方法与技巧来查找存货计价的舞弊原因与手段，对遏制会计信息失真有着重要意义。     

Optimization of Harvesting Return from Age-Structured Population

Synopsis Maximization of the net profit from harvesting in a one-species age-structured population is analyzed. One of the control functions is the age of harvested individuals. The constructed mathematical model is similar to vintage capital models used in economics for optimal capital replacement. The optimization technique developed by authors for the capital replacement is disseminated to the formulated problem. A qualitative analysis of the problem is provided and the interpretation of results is given. Such economic topics as a zero-investment period, optimal balanced growth, and turnpike properties are discussed.     

高新技术产业化中风险投资问题的实物期权分析

高新技术产业由于具有投资的不可逆性和很大的收益不确定性,因此不能采用传统的净现值方法来评估是否对其投资。本论文在分析高新技术产业特点的基础上,提出了嵌入期权的现金流量图评估方法,并且根据经验法则求出了风险投资公司应占高新技术企业的股份。     

Regulation and investment behaviour in the telecommunications sector: policies and patterns in US and Europe

This paper reports the results of the quantitative analysis of international experience of the relationship between infrastructure investment in the deployment of capacity that can carry large volumes of voice and data traffic and regulatory policy changes in the telecommunications sectors. It looks at the relationship between infrastructure investment for these infrastructure assets and the access pricing régimes for local exchange carriers in the United States and Europe. It then looks at the relationship between various aspects of regulatory and institutional policy changes in Europe and how they affect access prices.The paper finds that a lower access price promotes greater deployment of digital technology among US incumbent local exchange carriers (ILECs). Based on this finding, it suggests that it is in the ILECs interest to have access to their networks encouraged.The European data for interconnection are recent and far reaching conclusions are not feasible, but the findings, however, suggest that competition has worked by facilitating new entry through decreasing interconnection prices, although path dependencies, of existing and traditional concepts, in the mindsets of operators as well as regulators, may account for these findings.     

Frictions, Heterogeneity and Optimality in Mortgage Modeling

The purpose of this article is to provide a unified framework for incorporating frictions into a theoretical options-pricing model (OPM) for mortgages. This article presents formulation for a frictions-adjustable mortgage model that integrates borrower heterogeneity while simultaneously preserving prepayment and default financial decisions. Our model demonstrates the flexibility of the OPM by simulating separate and concurrent effects of three categories of frictions on the mortgage and mortgage components. Researchers can use our example formulation to determine the effects of specific borrower characteristics on mortgage values without destroying the options theoretic framework.     

经济增长在险水平、条件波动性与经济增长态势研究

经济增长在险水平（GaR）和条件标准差（CSD）能够有效地度量国家经济风险波动的单向性和双向性。利用动态时窗和条件异方差模型，我们发现我国国家经济风险与经济周期波动密切相关，目前的国家风险状态已经体现出明显的稳定性。利用协整关系检验，我们发现我国国家经济风险与经济增长水平之间存在正相关的长期均衡关系，因此采取积极经济政策的“反周期”干预，所诱发的适度经济波动将有且经济快速稳定增长。     

A Semiparametric Method for Valuing Residential Locations: Application to Automated Valuation

This paper is motivated by automated valuation systems, which would benefit from an ability to estimate spatial variation in location value. It develops theory for the local regression model (LRM), a semiparametric approach to estimating a location value surface. There are two parts to the LRM: (1) an ordinary least square (OLS) model to hold constant for interior square footage, land area, bathrooms, and other structural characteristics; and (2) a non-parametric smoother (local polynomial regression, LPR) which calculates location value as a function of latitude and longitude. Several methods are used to consistently estimate both parts of the model. The LRM was fit to geocoded hedonic sales data for six towns in the suburbs of Boston, MA. The estimates yield substantial, significant and plausible spatial patterns in location values. Using the LRM as an exploratory tool, local peaks and valleys in location value identified by the model are close to points identified by the tax assessor, and they are shown to add to the explanatory power of an OLS model. Out-of-sample MSE shows that the LRM with a first-degree polynomial (local linear smoothing) is somewhat better than polynomials of degree zero or degree two. Future applications might use degree zero (the well-known NW estimator) because this is available in popular commercial software. The optimized LRM reduces MSE from the OLS model by between 5 percent and 11 percent while adding information on statistically significant variations in location value.