A dynamic model of financial markets with learning is demonstrated to produce a selforganized system that displays critical behavior. The price contains private information that traders learn to extract and employ to forecast future value. Since the price reflects the beliefs of the traders, the learning process is self referencing. As the market learns to correctly extract information from the...

To study the process of pricing in capital market and look for a new way for decision support in financial market, according to the mechanism of artificial neural network, Capital Market Structure Model is developed in this case due to the influence between bargainer and price of asset in market. During proof-test, result of chaos forecast under the capital market structure model shows that cha...

We examine the effectiveness of frequently used technical indicators for intra-day forecast by applying them on the tick data of various stock prices. We show that the optimal combination of a few indicators chosen for each stock by using evolutional computation provides us a good forecast on the level of the future price at several ticks ahead. r 2007 Elsevier B.V. All rights reserved.

On-demand service platforms (e.g., Uber, Lyft) match consumers with independent workers nearby at short notice. To manage uctuating supply and demand conditions across market locations (zones), many on-demand platforms provide market forecasts to workers and practice surge pricing, wherein the price in a particular zone is temporarily raised above the regular price. We jointly analyze the strat...

We examine whether the ‘fear’ of globalisation can be rationalised by economic theory. To do so, we depart from the standard AD/AS (partial) equilibrium model where the coordinational role of the Auctioneer is substituted by an implementation device based on learning (Guesnerie, [11]). By endowing producers with a learning ability to forecast market prices, individual profit-maximizing producti...

On-demand service platforms (e.g., Uber, Lyft) match consumers with independent workers nearby at short notice. To manage fluctuating supply and demand conditions across market locations (zones), many on-demand platforms provide market forecasts to workers and practice surge pricing, wherein the price in a particular zone is temporarily raised above the regular price. We jointly analyze the str...

Background: Bitcoin, the most innovate digital currency as of now, created since 2008, even through experienced its ups and downs, still keeps drawing attentions to all parts of society. It relies on peer-to-peer network, achieved decentralization, anonymous and transparent. As the most representative digital currency, people curious to study how Bitcoin’ price changes in the past. Methods: In ...

s tock returns of companies listed on the stock exchange is one of the most important criteria in assessing the macroeconomic. this study investigates the effect of exchange rate volatility on the stock exchange returns of d8 countries. it takes monthly data during the period (2008:1-2015:6) constituting 90 observations. at first we used panel-garch model to estimate exchange rate volatility in...