Abstract: If we trade in financial markets we are interested in buying at low and selling at high prices. We suggest an active trading algorithm which tries to solve this type of problem. The algorithm is based on reservation prices. The effectiveness of the algorithm is analyzed from a worst case and an average case point of view. We want to give an answer to the questions if the suggested active trading algorithm shows a superior behaviour to buy-and-hold policies. We also calculate the average competitive performance of our algorithm using simulation on historical data
In this paper, we present an algorithmic implementation of a pairs trading strategy on the OMXS duri...
The present chapter presents a discussion about the main issues relative to trading activities. We ...
Electronic trading of securities in the information age is no longer just one of the options but oft...
From experimental evaluation, we reasonably infer that online trading algorithms can beat the market...
There are many different strategies to predict the stock market. When selecting a strategy to predic...
We introduce new online models for two important aspects of modern financial markets: Volume Weighte...
Most financial firms use algorithms to buy and sell financial assets. It is possible for amateur inv...
We introduce new online models for two important aspects of modern financial markets: Volume Weighte...
Algorithmic trading is one of the most phenomenal changes in the financial industry in the past dec...
This paper examines the role of algorithmic trading in modern financial markets. Additionally, order...
Abstract: Problem statement: Despite widespread academic acceptance of the Efficient Markets Hypothe...
Innovative automated execution strategies like Algorithmic Trading gain significant market share on ...
In the context of investment analysis, we formulate an abstract online computing problem called a pl...
Abstract- Stock market is a highly volatile market where stocks of different public limited companie...
The thesis offers a framework for trading algorithm optimization and tests statistical and economica...
In this paper, we present an algorithmic implementation of a pairs trading strategy on the OMXS duri...
The present chapter presents a discussion about the main issues relative to trading activities. We ...
Electronic trading of securities in the information age is no longer just one of the options but oft...
From experimental evaluation, we reasonably infer that online trading algorithms can beat the market...
There are many different strategies to predict the stock market. When selecting a strategy to predic...
We introduce new online models for two important aspects of modern financial markets: Volume Weighte...
Most financial firms use algorithms to buy and sell financial assets. It is possible for amateur inv...
We introduce new online models for two important aspects of modern financial markets: Volume Weighte...
Algorithmic trading is one of the most phenomenal changes in the financial industry in the past dec...
This paper examines the role of algorithmic trading in modern financial markets. Additionally, order...
Abstract: Problem statement: Despite widespread academic acceptance of the Efficient Markets Hypothe...
Innovative automated execution strategies like Algorithmic Trading gain significant market share on ...
In the context of investment analysis, we formulate an abstract online computing problem called a pl...
Abstract- Stock market is a highly volatile market where stocks of different public limited companie...
The thesis offers a framework for trading algorithm optimization and tests statistical and economica...
In this paper, we present an algorithmic implementation of a pairs trading strategy on the OMXS duri...
The present chapter presents a discussion about the main issues relative to trading activities. We ...
Electronic trading of securities in the information age is no longer just one of the options but oft...