北京市二手住宅价格影响机制--基于多尺度地理加权回归模型(MGWR)的研究

文章基于多尺度地理加权回归研究北京市2011-2017年二手住宅交易的价格特征,结果表明:①以往基于经典地理加权回归模型的研究可能存在一定的不稳健,而多尺度地理加权回归可以将不同变量对于因变量的影响尺度反映出来,其回归的结果更为可靠。②北京房价对区位因素非常敏感,且存在高度的空间异质性,区位的影响尺度是所有变量中最小的,接近于街道尺度。而卧室数量和到最近地铁站的距离为全局尺度的变量,在空间上的影响较为平稳。到公交站的距离、到小学的距离、建筑结构和装修状况对于房价的影响不显著。其他显著的变量均存在一定的空间异质性,其空间尺度由小到大分别为成交时间、面积、楼龄、楼层、朝向。③区位、朝向、卧室数量、成交时间均正向影响房价,而面积、楼龄、楼层、到地铁站的距离负向影响房价。所有影响因素中区位是影响房价的最主要因素,其次是成交时间朝向。面积成交时间、朝向和到最近地铁站的距离影响较大,所在楼层、卧室数量对于房价的影响较小,而面积和楼龄的影响最弱。     

English auctions with resale: An experimental study

I design and test a simple English auction and two English auctions with resale, but with different informational backgrounds. All three treatments theoretically have the same equilibrium. I find, however, that the possibility of resale alters behavior significantly. In the two treatments with resale, subjects deviated from both the Nash prediction and the common results about bidding behavior in English auctions. Subjects tend to overbid, when they are certain they can reap the whole surplus in the resale market. I employ different models like QRE and levels of reasoning and conclude that overbidding can be explained as a rational response to the noisy environment in markets with human participants, that is, as rational decision making when anticipating others to make errors. When the outcome of the resale market is not certain, there is significant signaling behavior and auction prices tend to be lower than the Nash prediction.     

The Role of Chonsei as a Price Protector in the Korean Housing Market

In this study, we investigate whether ‘Chonsei,’ the distinctive type of housing contract system in Korea, has a favorable impact on house prices during a market downturn. We show the mechanism in which Chonsei prevents a sharp drop in house prices based on sellers’ loss aversion behavior. Moreover, using data on the Seoul condominium (i.e. apartment) market during the 2006–2017 period, we find that Chonsei prices have a negative impact on the housing trade volume in a market recession. This finding is consistent with our argument that loss aversion behavior appears with regard to the rise in Chonsei prices and thereby Chonsei functions as a price protector in the Korean housing market.     

Stock Market Fluctuations and Money Demand in Italy, 1913–2003

This paper examines the impact of stock market fluctuations on money demand in Italy from a long‐run perspective. The money demand function estimated by Muscatelli and Spinelli (2000) for a long time span is utilized as a benchmark, adding to the specification information on share prices from the Milan Stock Exchange Reform of 1913 to recent years. For a shorter time period (1938–2003), annual observations on stock market capitalization and turnover velocity are also considered. The empirical findings suggest that stock market fluctuations help to explain temporary movements in liquidity preference, rather than its secular patterns. Overall, a positive association emerges between an index of stock market prices that includes dividends and real money balances; however, the estimated long‐run relationship is unstable. In a dynamic, short‐term specification of money demand, the estimated coefficient of deflated stock prices is positive, and therefore compatible with a wealth effect, in the years 1913–1980, while in the last two decades a substitution effect has prevailed and the correlation between money and share prices has been negative. This is likely to reflect a change in financial structure and the increasing role of opportunity costs defined over a wider range of assets. These results are confirmed by data on stock market capitalization. Moreover, in the recent period, stock market turnover and money growth are positively correlated .     

Cointegration analysis of quarterly tourism demand by Hong Kong and Singapore for Australia

Hong Kong and Singapore are two of the most important and fastest growing markets for tourists to Australia. The purpose of this paper is to investigate movements in the long-run demand for tourist travel by these two origin countries for Australia. Some of the leading macroeconomic variables examined to explain tourism demand are incomes in Hong Kong and Singapore, tourism prices in Australia, and transportation costs and exchange rates between the two countries and Australia. Seasonally unadjusted quarterly data are used for Hong Kong for the period 1975(1)–1996(4), and for 1980(4)–1996(4) for Singapore. Several proxy variables are used for the incomes of tourists from Hong Kong and Singapore to explain quarterly tourist arrivals to Australia. The augmented Dickey-Fuller test for unit roots is examined in the univariate framework, and Johansen's maximum likelihood procedure is used to test for cointegration and to estimate the number of cointegrating vectors. Error correction models are estimated to explain quarterly tourism demand by Hong Kong and Singapore for Australia.     

Did bubbles migrate from the stock to the housing market in China between 2005 and 2010?

The speculative nature of both stock and housing markets in China has attracted the attention of observers. However, while stock market data are easily available, the low frequency and low quality of publicly available housing price data hampers the study of the relationship between the two markets. We use original hedonic weekly resale housing prices of a major Chinese housing market and study them in conjunction with Shanghai's stock market index in the second half of the 2000s. The use of the Phillips et al. (2015 a,b) recursive explosive‐root test enables us to detect and date speculative episodes in both markets. We then implement the Greenaway‐McGrevy and Phillips (2016) methodology to detect the presence of migration between the two types of bubbles. We detect significant migration from the stock to the housing market bubble in 2009 and a temporary spillover in 2007.     

Transfer Prices, Tariffs, and Content Restrictions

The efficacy of a local content requirement as an employment enhancing policy in the host country is weakened in the presence of transfer price manipulation by a vertically and horizontally integrated multinational firm. For given host and foreign country tax rates, there is a threshold tariff above which the aggregate real effects of transfer price manipulation are unambiguous and below which these effects are ambiguous. Stricter content restrictions reduce benefits to host country factors, and higher tariffs increase benefits to host country factors in the presence of resale price constraints and endogenous-limit transfer prices.     

The price of owning a car: an analysis of auction quota premium in Singapore

Faced with dilemmas parallel to countries besieged by road congestions and limited land resources, Singapore has chosen to adapt a Vehicle Quota System (VQS) whereby car owners are required to bid for a licence in an auction before their vehicles are allowed onto the road. In this study, the behaviour of VQS auction prices is examined using a structural time series approach. For outliers that are not observable from innovations, auxiliary residuals with dummy variables are used to supplement the analysis. In general, prices exhibit a fairly constant seasonal pattern. The inclusion of monthly VQS quotas released by the transport regulatory body and the national stock market index is not useful in explaining the observed price behaviour. Interestingly, a basic structural model with stochastic components seems to fit the data best.     

Oil shocks,policy uncertainty and stock returns in China

This paper examines the interdependence of China's policy uncertainty, the global oil market and stock market returns in China. A structural VAR model is estimated that shows that a positive shock to economic policy uncertainty in China has a delayed negative effect on global oil production, real oil prices and real stock market returns. Shocks to oil market‐specific demand significantly raise China's economic policy uncertainty and reduce the real stock market returns. As measured by a spillover index, the interdependence between these variables has been rising since 2003 as China's influence in the oil market has increased. An equivalent spillover index calculated for the US is smaller and has been largely flat over time.     

The effect of quantitative easing on stock prices: a structural time series approach

A structural time series model is estimated and tested to examine the effect of quantitative easing (QE) on US stock prices. The model is estimated by maximum likelihood in a Time-varying parametric (TVP) framework, using the S&P 500 index as the dependent variable and the Fed’s balance as an explanatory variable in addition to the unobserved components accounting for the behaviour of variables that do not appear explicitly in the equation. The results show that QE had a sizeable, but not exclusive, effect on stock prices and that stock prices were also affected by other missing variables and cyclical movements. Several explanations are presented for the rise of the US stock market in the post-QE period, particularly since the election of Donald Trump.     

Labour Unrest and the Quality of Production: Evidence from the Construction Equipment Resale Market

This paper examines the construction equipment resale market to assess whether equipment produced by the world's largest manufacturer of construction machinery, Caterpillar, experienced lower product quality in facilities that underwent contract disputes during the 1990's. Analysis of auction data reveals that resale market participants significantly discounted machines produced in these dispute-affected facilities. Additionally, pieces of equipment produced in facilities undergoing unrest were resold more often, received worse appraisal reports, and had lower list prices. Taken together, the evidence supports the hypothesis that workmanship at dispute-affected facilities declined and that the resulting impact on the economic quality of the equipment produced was significant. The dispute was associated with at least $400 million in lost service flows due to inferior quality equipment alone.     

Asymmetric auctions with resale: An experimental study

We study auctions with resale based on Hafalir and Krishna's (2008) [6] model. As predicted, weak bidders bid more with resale than without, so that average auction prices tend to increase. When the equilibrium calls for weak types to bid higher than their values with resale they do, but not nearly as much as the theory predicts. In other treatments outcomes are much closer to the risk neutral Nash model's predictions. Bid distributions for weak and strong types are more similar with resale than without, in line with the theory.     

Spectral analysis of secondary market mexican external debt prices

The secondary market for developing country debt currently is one of the fastest growing segments of the fixed income securities market. This paper examines the spectral properties of secondary market Mexican external debt price variations from January 1986–December 1992. The analysis presented in this paper suggests that the secondary market for Mexican external debt may be characterized by the "random-walk with drift" model. Moreover, large (small) spectral density estimates at high (low) periodicities suggest that secondary market price variations were positively autocorrelated and aperiodic in nature, although there is some evidence to suggest the possible presence of short-period harmonic resonances. Cross-spectral analysis of the relationship between the 10-year U.S. Treasury bond interest rate and secondary market Mexican external debt prices appears to verify the theoretical relationship between market determined interest rates for default-free, dollar denominated debt and secondary market debt prices. More importantly, estimated phase-lag relationships suggest that the secondary market for Mexican external debt probably was inefficient at the semi-strong level.     

Optimal mechanism design with resale via bargaining

In this paper, we examine the optimal mechanism design of selling an indivisible object to one regular buyer and one publicly known buyer, where inter-buyer resale cannot be prohibited. The resale market is modeled as a stochastic ultimatum bargaining game between the two buyers. We fully characterize an optimal mechanism under general conditions. Surprisingly, in this optimal mechanism, the seller never allocates the object to the regular buyer regardless of his bargaining power in the resale market. The seller sells only to the publicly known buyer, and reveals no additional information to the resale market. The possibility of resale causes the seller to sometimes hold back the object, which under our setup is never optimal if resale is prohibited. We find that the seller?s revenue is increasing in the publicly known buyer?s bargaining power in the resale market. When the publicly known buyer has full bargaining power, Myerson?s optimal revenue is achieved; when the publicly known buyer has no bargaining power, a conditionally efficient mechanism prevails.     

Financial Market Data Versus Accounting Data: Which Better Explains Stock Returns?

This paper presents the comparison of how financial market and accounting data affect stock prices and returns. The goal was to ascertain whether financial information or accounting data dominate in evaluating stock prices. Most valuation techniques used by firms are based on models using either accounting variables (earnings, book value, cash flows, research and development expenses) or financial market data (e.g. beta, market value, interest). The answer is of great importance for valuators and investors as it will help them focus on the most important variables and make better valuations and choices. This answer is also important for accounting standard setters as the preferred method will serve as an indicator for the quality of financial statements and their importance to users. The paper contributes to the existing literature in the fields of value relevance of accounting information and firm valuation and accounting standards (e.g. International Financial Reporting Standards, United States General Accepted Accounting Principles). To answer this question, share prices were estimated based on financial data using the capital asset pricing model and for accounting data, using Ohlson’s model. The results were tested for both methodologies by comparing estimated share prices with actual ones. The greater the correlation between the two variables the better the explanatory power of the model. The focus was on S&P 500 firms for the period 2002–2017.

     

Price effects of independent transmission system operators in the United States electricity market

In 1996, the Federal Energy Regulatory Commission (FERC) sought to “remove impediments to competition in the wholesale bulk power marketplace and to bring more efficient, lower cost power to the Nation’s electricity consumers” through a series of market rules. A product of these rules was the establishment of regional transmission organizations (RTOs) and independent system operators (ISOs) charged with facilitating equal access to the transmission grid for electricity suppliers. Whether these changes in market structure have succeeded in achieving FERC’s goal to provide “lower cost power to the Nation’s electricity consumers” remains an open question. This paper utilizes a panel data set of the 48 contiguous United States and a treatment effects model in first differences to determine whether there have been changes in delivered electric prices as a result of the establishment of ISOs and RTOs. To avoid the confounding effects of electric restructuring, the model is estimated with the full panel data set, and then again without the states that have restructured their electric markets. This estimation shows that electricity prices fall approximately 4.8 % in the first 2 years of an ISO’s operation and that this result is statistically significant. However, this result is dependent on the presence of states that restructured their electricity markets. When these restructured states are removed from the data set the price effects of RTOs become indistinguishable from zero. The paper concludes that rate agreements are the principal source of the observed decrease in prices and that RTOs have not had the desired effect on electricity prices.     

Dynamic linkages between exchange rates and stock prices: Evidence from East Asian markets

This study examines dynamic linkages between exchange rates and stock prices for seven East Asian countries, including Hong Kong, Japan, Korea, Malaysia, Singapore, Taiwan, and Thailand, for the period January 1988 to October 1998. Our empirical results show a significant causal relation from exchange rates to stock prices for Hong Kong, Japan, Malaysia, and Thailand before the 1997 Asian financial crisis. We also find a causal relation from the equity market to the foreign exchange market for Hong Kong, Korea, and Singapore. Further, while no country shows a significant causality from stock prices to exchange rates during the Asian crisis, a causal relation from exchange rates to stock prices is found for all countries except Malaysia. Our findings are robust with respect to various testing methods used, including Granger causality tests, a variance decomposition analysis, and an impulse response analysis. Our findings also indicate that the linkages vary across economies with respect to exchange rate regimes, the trade size, the degree of capital control, and the size of equity market.     

Auctions with private uncertainty and resale opportunities

When an auction is followed by an opportunity for resale, bidder valuations are endogenously determined, reflecting anticipated profit from buying/selling in the resale market. These valuations vary with the resale market structure, can differ across auction types, and may be lower or higher than if resale were impossible. Although resale introduces a common value element to the model, revenue equivalence can hold; when it fails, this is due not to affiliation but to differences in information conveyed to the secondary market. Information linkages between markets can also lead to signaling and, in some cases, preclude separation in the auction.     

Key market values for bottled wine in an emerging market: product attributes or business strategy?

ABSTRACT

This article focuses on the emerging bottled Chilean red wine market and studies the main determinants of the consumer price of wine sold on the domestic market. A hedonic price function was estimated for a sample of 810 wines using a quantile regression (QR) model. The database contains three variable groups to explain price: objective variables (national, international and vine quality designations), subjective variables (wine score) and business strategies used by wine producers. Results show that some objective variables have a greater impact on price than the wine score (a subjective variable) and business strategies, which vary for each quartile of prices analysed. Finally, this information will allow companies to design and implement marketing strategies to inform the consumer about the importance of some variables in the price of their product.