经评审的最低投标价法的实践

随着中国建筑业管理体制改革的不断深化，招投标制度在中国得以推广应用，但目前以标底为中心的评标方法存在不足，有待完善。合理低价中标，具备不低于成本价、在合理的范围内两个条件，它代表着市场竞争的发展要求和方向，能够有效地减少一些人为因素。推进合理低价中标，应该把好资格审查关、标书评审关、招投标监督关，并要实行担保制，引入索赔机制。     

运用经济杠杆促进错峰调荷——安徽省峰谷电价分析

阐述了安徽省峰谷电价的实施背景、方案的主要内容和创新特点,2004年上半年的实际执行情况及取得的效果。结合安徽省实际情况,对下一阶段如何优化峰谷电价方案、进一步发挥价格杠杆作用提出了建议。     

关于输配电价几个重要问题的探讨

我国电力企业将要由传统的垂直垄断的模式转变为网厂分开、竞价上网的模式。电网公司作为一个独立的经营实体分离开来,有着独立的收益需求。在市场运营过程中,通过输配电价取得收益就成了电网公司取得收益的主要手段。在输配电价的制订过程之中,管制方式、输配电成本、输电定价方法、价格水平及电网投资、输配电价价区、电网提供的辅助服务等六个问题十分重要。文中就这六个问题的解决作了一些有价值的探讨。     

权证行权若干问题之思考

本文首先结合权证行权适用条件及权证价格有关影响因素,对权证行权时间选择的一般情形做出分析.在比较港台地区及内地市场权证的行权交收期,并结合权证发行人和投资者的利益以及行权需求对行权效率的选择进行分析的基础上,本文对国内目前的行权制度提出了相关建议.     

Owning and testing smoke alarms: findings from a qualitative study

Reducing injury and death in house fires is an important public health intervention activity with the presence of an operating smoke alarm widely considered an important way of reducing harm from fire. Yet despite a number of initiatives and fire-safety campaigns, a number of households at greater risk of domestic fire fail to have a functioning alarm. This paper provides empirical insight into everyday experiences of owning, maintaining and testing smoke alarms among a purposive sample of individuals identified as being less likely to own a functioning smoke alarm. Analysis from focus group data identifies a number of reasons why individuals may not own or test an alarm, and provides new insight into how fire risk is understood in the context of a range of competing, and potentially more prominent, individual and household risks. We suggest that while initiatives that aim to reduce fire injury and death should be continued, their success, and indeed future research on fire risk, should pay attention to the mundane and everyday contexts within which individuals currently rarely reflect on their risk of experiencing a domestic fire.     

Pricing mortgage insurance contracts under housing price cycles with jump risk: evidence from the U.K. housing market

Previous studies have investigated the determinants of housing price cycles in the housing market; however, we observed the phenomenon of housing price jumps in the 2007 subprime crisis. This paper presents a discussion on the housing price cycle and abnormal price jumps to describe the behavior of housing prices in the United Kingdom. The empirical results show that the impact factors of housing cycles are market risk and the switching factor. Furthermore, the impact factors of jump risks include the bursting of the housing bubble and financial crises. Therefore, in this paper, we employ the Markov switching model with jump risks to value the MI contracts and analyze the influences of housing price cycles, jump risks, risks of market interest rate, and the prepayment risks on MI premiums. The results of sensitivity analysis show that more volatile housing price index returns, as well as longer periods of higher volatility in housing prices, raise MI premiums. Moreover, the MI premium is positively related to the absolute value of the average jump amplitude and the shock frequency of abnormal events. There is the tradeoff between the market interest rate and the prepayment risk. The influences of market interest rate are different on MI premium with/without prepayment risks.     

Hot money in disaggregated capital flows

We explore the possible existence and behavior of hot money in six categories of disaggregated bilateral capital flows (equity inflows, equity outflows, bond inflows, bond outflows, banking credit inflows, and banking credit outflows) for 12 emerging markets vis-à-vis the US from 1995 to 2012 and provides several new findings. First, we identify the existence of hot money in all six categories above and conclude that both gross inflows and gross outflows can be the sources of hot money. Second, hot money in equity inflows (outflows) engages in positive (negative) feedback trading regarding local stock market returns. Third, some categories of hot money have a temporary influence on local stock market returns while the others have a permanent influence, supporting the explanations of both price pressures and information advantage. Finally, local stock market returns in half of our sample countries, which have tightened capital controls during the late 2000s global financial crisis (GFC), are more affected by hot money than in the other half. Our findings confirm several popular conjectures of hot money, and endorse the use of capital controls to limit financial vulnerability in the run-up to and during the GFC.     

Financial System and Housing Price

The 2007/2008 US financial crisis is related to the securitization of mortgage loans and the housing-price boom and bust. In this article, we test the hypothesis that housing-price change is related to the development of the financial system. Using panel data for 23 countries from 1988 to 2012, we have found that the housing-price growth rate increases as the financial system moves a bank orientation to a market orientation. The policy implication is that the government should beware sudden increases in the capital market relative to the banking sector. Especially, more sophisticated financial supervision with respect to housing-price movement is required when a bank-based financial system progresses quickly to a market-oriented financial system.     

A Multiple and Partial Wavelet Analysis of the Oil Price,Inflation, Exchange Rate,and Economic Growth Nexus in Saudi Arabia

This article provides a fresh insight into the dynamic nexus between oil prices, the Saudi/US dollar exchange rate, inflation, and output growth rate in Saudi Arabia’ economy, using novel Morlet’ wavelet methods. Specifically, it implements various tools of methodology: the continuous wavelet power spectrum, the cross-wavelet power spectrum, the wavelet coherency, the multiple and the partial wavelet coherence to the annual sample period 1969–2014. Our results unveil that the relationships among the variables evolve through time and frequency. From the time-domain view, we show strong but non-homogenous linkages between the four variables. From the frequency-domain view, we uncover significant wavelet coherences and strong lead-lag relationships. From an economic view, the wavelet analysis shows that Saudi economy is still exposed to several global risk factors, which are mainly related to the oil market volatility, and the pegging of the local currency to the US dollar. Such risk factors strongly and negatively affect the real economic growth, exert more pressure on inflation, and substantially limit the freedom to pursue an independent monetary policy.