Policy spillover and regional linkage characteristics of the real estate market in China's urban agglomerations

The main purpose of this study is to determine the spillover effect of real estate regulatory policies released by core cities on the surrounding cities in major urban agglomerations based on regional linkage characteristics of China's real estate market. In this study, real estate transaction data of 157 cities were selected from 11 major urban agglomerations. Agglomeration's housing transaction volatility and spillover effect caused by the core city's regulatory policies were simulated by integrating spatial and temporal analysis model, event analysis, and symbolic time series analysis. The findings showed that (1) the regional linkage of the real estate market in the Harbin–Changchun and Middle–South Liaoning, Middle Reaches of the Yangtze River, Yangtze River Delta, Pearl River Delta, and West Side of the Straits agglomerations were remarkably tight and the core cities' policy spillover effect was significant, of which the house purchase limitation and credit limitation policies had the widest influence; (2) the regional linkage of the real estate market in the Beijing–Tianjin–Hebei agglomeration, Shandong Peninsula, Guanzhong Plain, and Chengdu–Chongqing agglomerations was relatively weaker, but the core cities' policies of market regulation and taxation had certain spillover effect; (3) there were significant differences in the spillover effects of different types of policies in different urban agglomerations; (4) generally, the core cities' policy spillover often reduced the changing characteristics of the real estate market and made it more ordered with more certainty in the whole agglomeration, with the exception of the Beijing–Tianjin–Hebei, West Side of the Straits, and Chengdu–Chongqing agglomerations.     

Filtration enlargement-based time series forecast in view of insider trading

This survey reviews filtration enlargement models in view of insider trading. Although filtration enlargement aptly models insiders' informational advantage, the theoretical results have not attracted the attention of the empiricists, owing mainly to the lack of a bridge transforming the results to testable hypotheses, and/or the absence of econometrics method linking the hypotheses and the data. This survey provides a feasible avenue to estimate insider information and to detect trading from a relatively sophisticated theoretical model, where the dynamics of publicly available data (e.g., stock price) implies insider information before the information is completely digested. We complete the survey with an empirical illustration based on simulated data.     

Proposal for calculating regulatory capital requirements for reverse mortgages

In the current context in which many people worry about the sustainability of pension systems, reverse mortgages are gaining popularity because they are a way to supplement elderly people's incomes. However, it is necessary to provide banks with an adequate risk measurement and management procedure for reverse mortgages to increase the commercialization of these products, which will result in greater well-being for the retirement age population. In this paper, we propose a method to measure risk and estimate the regulatory capital requirements for a portfolio of reverse mortgages owned by a financial institution according to Basel II and III. The method considers house price risk, mortality risk and interest rate risk; consequently, regulatory capital requirements need to be computed using a Monte Carlo simulation procedure. The proposed method is general and can accommodate several scenarios for reverse mortgage specifications, including fixed or variable mortgage rates and different income stream schemes (with the lump sum as a particular case). The results for the U.K. show that reverse mortgage providers face higher risk when the lender initially advances a higher amount, with the lump-sum case indicating the highest risk, for relatively younger borrowers, the female population, higher interest rates and floating mortgage rates.     

Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx

We extend neural basis expansion analysis (NBEATS) to incorporate exogenous factors. The resulting method, called NBEATSx, improves on a well-performing deep learning model, extending its capabilities by including exogenous variables and allowing it to integrate multiple sources of useful information. To showcase the utility of the NBEATSx model, we conduct a comprehensive study of its application to electricity price forecasting tasks across a broad range of years and markets. We observe state-of-the-art performance, significantly improving the forecast accuracy by nearly 20% over the original NBEATS model, and by up to 5% over other well-established statistical and machine learning methods specialized for these tasks. Additionally, the proposed neural network has an interpretable configuration that can structurally decompose time series, visualizing the relative impact of trend and seasonal components and revealing the modeled processes’ interactions with exogenous factors. To assist related work, we made the code available in a dedicated repository.     

THE EFFECTS OF ECONOMIC REGULATION IN THE ISTANBUL TAXICAB MARKET

This paper discusses the regulation of the Istanbul taxicab market and its consequences. While price and entry regulations are common to many taxi markets, there are significant differences in their institutional frameworks. We examine the problems of the Istanbul market and offer recommendations to improve its efficiency.     

近代上海房地产市场波动的金融分析(1929～1935)

1929~1935年,上海房地产市场在短短的五六年间经历了暴涨和暴跌。文章通过对房地产市场的金融分析,发现导致上海房地产市场在短期内大起大落的主要原因是币值和物价的变化。由于近代币值和物价的变化,结果导致货币市场上流通量发生剧烈波动,并影响了房地产市场的投机需求,导致房地产市场大起大落。这也提醒人们在分析房地产市场价格时要注意币值及物价对供求关系的影响,注意甄别各种不同的需求及其比重。     

基于理论价格法的广东省茂名市房地产泡沫研究

运用理论价格法从定量分析的角度对广东省茂名市房地产市场是否存在泡沫以及泡沫的程度进行研究。研究结果表明:茂名市房地产市场2008年基本无泡沫;2009—2011年这三年茂名市房地产市场存在泡沫,尤以2009年最为严重;2010年房地产市场过热;2011年泡沫程度有明显的上升的趋势。     

关于工程招投标价格控制的措施分析

工程建设是一项涉及到设计、施工、管理、采购等多方面内容的一项系统性很强的经营活动,其中两个非常重要的阶段就是设计和施工,本文将对建设工程中设计阶段的招投标价格控制措施进行分析探讨。     

河南制造业和物流业联动发展分析

近年,河南制造业和物流业都获得了较快发展,但仍不尽如人意。协整理论分析表明,河南制造业和物流业联动发展水平较低。其根本原因在于供应链难协同,物流创新不足。为此应优化环境,建立联动机制,推动制造企业一体化物流和第三方物流业的整合与流程再造。     

两阶段供应链的价格牛鞭效应模型

在一个简单如两阶段的供应链中,如果需求者采用＂涨增跌减＂的行为模式,而供给者不采取适当的应对措施,则短期的需求变动可能造成未来较长时期的价格的持续上升和下跌,即价格的牛鞭效应。通过构建一模型,对这一现象作出合理解释,并基于该模型提出有效的价格牛鞭效应的控制措施。