Prices of Apartments in Relation to Noise Level in Poland

Acoustic climate of a given area ought to be a factor of considerable significance in investment processes in an urbanized area, especially in a residential real estate market, due to its extensive influence on the living standards of its inhabitants. In the following article, the authors have given an analysis of the residential market of housing units located in areas of acceptable and excessive noise levels in preselected regions of Poland. With this end in view, an entirely new source of information has been used in the research--an acoustic map which has been defined and applied to produce the outcome of the analysis. It allowed for the recognition of whether or not the noise level influences decisions made by investors existing in a local residential real estate market.

Effect of Trader Composition on Stock Market

In this study, we build a double auction market model, which contains two types of agent traders, i.e., the noise traders and fundamentalists, to investigate the effect of the trader composition on the stock market. It is found that, the non-trivial Hurst exponent and the fat-tailed distribution of transaction prices can be observed at any ratio of the noise traders. Analyses on the price variation properties, including the Hurst exponent and the price variation region, show that these properties are stable when the ratio is moderate. However, the non-price variation properties, including the trading volume and the profitability of the two kinds of agents, do not keep stable untrivially in any interval of the ratio of noise traders.

An Extreme Value Approach to Test the Effect of Price Limits on Volatility

Many stock exchanges around the world enforcing daily price limits on the amount asset prices can change to prevent the market from overreacting and to reduce volatility. Price limits are artificial boundaries set by market regulators who restrict price changes of a stock to a pre-specified range during a trading day or a single trading session. The primary aim of price limit rules is to stabilize the markets during panic trading, to moderate vitality by repressing excessive speculation, and to allow stocks to be traded at prices close to their fair value. However, their impact on the market is a somewhat unresolved issue （Harris, 1998）. Using a methodology of comparing volatility based on the extreme value technique, the authors empirically investigate the impact of price limits on the volatility of the Stock Exchange of Thailand. The empirical results support price limits advocates, suggesting that price limits rules moderate stock price volatility.

Oil Crisis, Market Reforms, and Human Welfare： An Econometric Analysis of the Australian Economy

As an active trader in international crude oil and petroleum product markets, Australia＇s human welfare is affected by oil crisis and contagion from the perspectives of economic growth, income inequality, and environmental sustainability. This paper investigates the impacts of oil price shocks upon Australia＇s gross domestic product （GDP） growth, Gini coefficients, and carbon dioxide emissions per capita from 1970 to 2012 with yearly frequency. Hypotheses concerning whether Australia＇s economic immunity against oil crisis is affected after the deregulation of oil market and whether endogenous oil price shocks account for more variations in human welfare than exogenous oil price shocks are tested. The methodologies include a theoretic model and a series of econometric tests. For the short-run dynamics, oil price is integrated into the model both linearly and non-linearly. Oil price shocks are categorized into exogenous and endogenous shocks. The conclusions are that inflated oil prices exert mainly non-linear negative impacts upon human welfare indicators and exogenous shocks induce endogenous shocks through labor price, Consumer Price Index （CPI）, interest rate, and exchange rate. For the long-run equilibrium, non-linear shocks＇ effects decay more slowly than linear shocks and the impacts of endogenous shocks last longer than that of exogenous shocks. Finally, oil market policies are evaluated and proposed.

Review and Outlook of China's Oil Market in 2015

Growth rate of oil demand rose again in China in the first half of 2015. Demand for oil products went on differentiating, and the demand growth of most products sped up. Growth rate of oil production rose again, oil imports increased rapidly, and external dependence of crude oil and oil broke through 60% separately. The State adjusted the prices of gasoline and diesel timely and frequently, based on pricing mechanism. Price hike was higher than reduction. Oil market got weak, yet more stable. China increased the pace of reforms in marketization. In the second half, oil demand will increase continuously but with lower growth rate, oil production will rise more slowly, imports of crude oil and oil will keep on rising rapidly, gasoline and kerosene as well as diesel will witness a net import, and the market of gasoline, kerosene and diesel will be more stable.

MIXED HEDGING UNDER ADDITIVE MARKET PRICE INFORMATION

Assume that there is additional market information in the financial market, which is represented by n given T-contingent claims. The special claims with observed prices at time 0 can only be traded at time 0. Hence, investment opportunities increase. By means of the techniques developed by Gourierout et al. （1998）, the mixed hedging problem is considered, especially, the price of contingent claim and the optimal hedging strategy are obtained. An explicit description of the mean-variance efficient solution is given after arguing mean-variance efficient frontier problem.

Component ACD Model and Its Application in Studying the Price-Related Feedback Effect in Investor Trading Behaviors in Chinese Stock Market

This paper explores the investors＇ feedback to the price change by modelling the price- related dynamics of trading intensity. A component decomposition duration modeling approach, called the component autoregressive conditional duration （CACD） model, is proposed to capture the variation of trading intensity across time intervals between price change events. Based on the CACD model, an empirical analysis is carried out on the Chinese stock market that covers different market statuses. The empirical results suggest that the CACD model can capture the price-related dynamics of trading intensity, which supports the existence of the feedback effect and is robust across different market statuses. The authors also study how the investors react to the price change by examining the driven factors of the price-related dynamics of trading intensity. The authors find that the trading can be triggered by the fast rise in the price level and the high trading volume. Besides, investors are more sensitive to the price change direction in the sideways market than in the upward or downward markets.

COMPLEX SYSTEM ANALYSIS OF MARKET RETURN PERCOLATION MODEL ON SIERPINSKI CARPET LATTICE FRACTAL

This paper investigates the statistical behaviors of fluctuations of price changes in a stock market.The Sierpinski carpet lattice fractal and the percolation system are applied to develop a new random stock price for the financial market.The Sierpinski carpet is an infinitely ramified fractal and the percolation theory is usually used to describe the behavior of connected clusters in a random graph.The authors investigate and analyze the statistical behaviors of returns of the price model by some analysis methods,including multifractal analysis,autocorrelation analysis,scaled return interval analysis.Moreover,the authors consider the daily returns of Shanghai Stock Exchange Composite Index,and the comparisons of return behaviors between the actual data and the simulation data are exhibited.