T his paper is an attempt investigating the relationship between sanctions implications and geographical shift in trading partners. To this end, we analyze separately foreign trade patterns of two countries namely Iran and Russia - which are under imposed sanctions experience - with two United Nations Regional Groups (The Asia-Pacific and the Western European groups)  using a gravity...

In the course of technological evolution security markets offer low-latency access to their customers. Although latency figures are used as marketing instruments, only little research sheds light on the means of those figures. This paper provides a performance measure on the effect of latency in the context of the competitive advantage of IT. Based on a historical dataset of Deutsche Börse’s el...

The algorithmic stock trading has developed exponentially in the past years, while the automatism of the technical analysis was the main research are for implementing the algorithms. This paper proposes a model for a trading algorithm that combines the signals from different technical indicators in order to provide more accurate trading signals.

We study top trading cycles in a two-sided matching environment (Abdulkadiroglu and Sonmez (2003)) under the assumption that individuals’ preferences and objects’ priorities are drawn iid uniformly. The distributions of agents’ preferences and objects’ priorities remaining after a given round of TTC depend nontrivially on the exact history of the algorithm up to that round (and so need not be u...

The presumed source of the volatility is a trading strategy called “programmed trading.”2 This strategy, which essentially involves trading on small and shortlived price differences for the same group of stocks in the spot, futures and options markets, is not new. The introduction of stock jnde~futures around 1982 and the application of computer techniques to monitor price differences and trigg...

A great deal of work has been published over the past decade on the application of neural networks to stockmarket trading. Individual researchers have developed their own techniques for designing and testing these neural networks, and this presents a difficulty when trying to learn lessons and compare results. This paper aims to present a methodology for designing robust mechanical trading syst...

The emergence of IT-based trading activities like algorithmic trading or high-frequency trading alters the traditional trading environment within financial markets. Thus, the question arises whether this technological arms race positively affects market quality or represents a risk related to market integrity. Within this study, we evaluate the order-to-trade-ratio for measuring overall ITbased...

the purpose of this research is to examine the existence of seasonality in the stock market return, its volatility and trading amount associated with moving calendar events such as the holy month of ramadan using a garch specification and data for the tehran stock exchange (tse) from april 1998 to june 2010. the result shows a statistically significant increase in returns and a systematic patte...

Informal" know-how trading is the extensive exchange of proprietary know-how by informal networks of process engineers in rival (and non-rival) firms. I have observed such know-how trading networks to be very active in the US steel minimill industry and elsewhere, and they appear to represent a novel form of cooperative R&D. When one examines informal know-how trading in the framework of a "Pri...

Anomaly is an incident or event that cannot be explained by the dominant theories. Anomalies are situated in confronting with the efficient market theory, so that it provides conditions for stock trading strategies with additional returns in case of existing predetermined returns. Therefore, in this study, the anomaly due to monthly effects on the stock volume trading and the Tehran Stock Excha...