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In this paper, a neural network-driven fuzzy reasoning system for stock price forecast is proposed on the basis of improved Takagi-Sugeno reasoning model. The experimental result shows that the fuzzy neural network has such properties as fast convergence, high precision and strong function approximation ability and is suitable for real stock price prediction.

Since the emergence of online auctions in 1995, many individuals have joined auction markets. Sometimes, many bidders have made wrong decisions (e.g., ‘‘Winner Curse’’) due to their limited knowledge and resources. Unfortunately, search engines only show a list of search results to users, and fail to provide further analysis that could help improve users’ decision-making. To solve this problem,...

We propose a systematic procedure for assessing the end price of an item in a C-to-C auction site. These sites deal with used product and the product features vary substantially even within a single product category that makes price assessment difficult. Besides, the true market demand at a particular time, the effect of spurious bidding activities also contributes to price variation. We sugges...

Six hens pecked a key (Experiment 1) or pushed a door (Experiment 2) to obtain food reinforcement. In both experiments and as an analogue of price changes, the response requirements were varied in two ways: by increasing the number of responses required and by increasing the required force of each response. The two price manipulations (response number and response force) had different effects o...

In liberalized telecommunications markets, the incumbent typically enjoys several advantages over any entrant. Regulation in such asymmetric markets is successful if retail prices are low and the entrant’s pro...ts are high so that entry is encouraged. I show that asymmetric access price regulation with a cost-based access price for the incumbent and an access markup for the entrant is more suc...

Abstract—Current real-estate value estimation, difficult for laymen, usually is performed by specialists. This paper presents an automated estimation process based on big data and machine-learning technology that calculates influences of building conditions on real-estate price measurement. The present study analyzed actual building sales sample data for Nonhyeon-dong, Gangnam-gu, Seoul, Korea,...

Iran is one of the oil exporting countries, so the oil price plays a remarkable role in the government budget and is a major source of foreign exchange. On the other hand, the reliance of the government budget to oil income as well as its fluctuations is a fact referred to as the most important cause of inflation by many researchers. This paper explores the effect of shocks in the exchange rate...

In this paper, we employ simulation-based methods to study the role of a market maker in improving price discovery in a prediction market. In our model, traders receive a lagged signal of a ground truth, which is based on real price data from prediction markets on NBA games in the 2014–2015 season. We employ empirical game-theoretic analysis to identify equilibria under different settings of ma...

In this paper, a Takagi–Sugeno–Kang (TSK) type Fuzzy Rule Based System is developed for stock price prediction. The TSK fuzzy model applies the technical index as the input variables and the consequent part is a linear combination of the input variables. The fuzzy rule based model is tested on the Taiwan Electronic Shares from the Taiwan Stock Exchange (TSE). Through the intensive experimental ...