This is an introduction to the special section on the economic theory of bubbles. © 2014 Elsevier B.V. All rights reserved. Asset markets around the world are very volatile. Two most important asset markets are the stock market and the housing market. Fig. 1 presents the US and the Japanese real stock market indices (S&P 500 and Nikkei 225).1 This figure shows that the US stock market experienc...

according to stock price excessive volatility in tehran stock exchange, the price limit mechanism is utilized in order to making the price fluctuation narrow and based on the specific periods, the price limit has encountered some variations which price limit has been determined by try and error within these periods and in a short stage of time many modifications existed through the applications...

Authors present the stock price prediction algorithm by using Bayesian network. The present algorithm uses the network twice. First, the network is determined from the daily stock price and then, it is applied for predicting the daily stock price which was already observed. The prediction error is evaluated from the daily stock price and its prediction. Second, the network is determined again f...

This paper examines how an option plan that rewards managers for firm performance relative to some market or industry benchmark should be structured. Relativeperformance-based compensation advocates contend that conventional stock options do not adequately discriminate between strong and weak managers, typically suggesting “indexed options,” that is, options with an exercise price linked to a m...

We used a no-arbitrage, cost-of-carry pricing model to examine whether equity spot and futures markets are cointegrated. A stock index and its futures price should be cointegrated if the cost of carry is stationary. Otherwise, the appropriate cointegrating relationship is trivariate. We found that the Standard and Poor’s 500 index, associated futures series, and interest rate are all nonstation...

This paper aims to analyze cryptocurrency volatility by examining the effect of Gold, Dollar Index, and Composite Stock Price Index (IHSG) as independent variables on Bitcoin Ethereum dependent variables. The objects in this study are Ethereum, which have largest market capitalization. data used period January 1, 2018, December 31, 2021. GARCH analysis. study's results indicate that Bitcoin's i...

Based on the multifractal detrended fluctuation analysis (MF-DFA) and multifractal spectrum analysis, this paper empirically studies the multifractal properties of the Chinese stock index futures market. Using a total of 2,942 ten-minute closing prices, we find that the Chinese stock index futures returns exhibit long-range correlations and multifractality, making the single-scale index insuffi...

Stock price prediction is an important and challenging problem for studying financial markets. Existing studies are mainly based on the time series of stock price or the operation performance of listed company. In this paper, we propose to predict stock price based on investors' trading behavior. For each stock, we characterize the daily trading relationship among its investors using a trading ...

Changes in home owners’ wealth is measured by using an index of property prices constructed from sales transactions. Since only a very small proportion of the housing stock is offered to the market in any given time period, the index is a proxy for change in the price of all properties. The accuracy of the index determines its suitability as a ‘good’ proxy in reflecting price changes. Several m...