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The Ability to Rate and Rank Algorithms through Effective Transaction Cost Analysis (TCA) is Increasingly Seen as the Key to Successful Performance.

DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c49739) has announced the addition of Datamonitor's new report: The Evolution of Algorithmic Trading (Strategy Focus) to their offering.

As financial institutions battle with ongoing competitive pressures, there have been radical transformations in trading systems in global markets. Institutions are looking for advanced trading platform functionality in order to gain the ever important competitive advantage.

Scope of this title:

- Discusses the changing nature of the buy-side / sell-side trading relationship

- Examines the future trading tools being developed for superior performance

Highlights of this title:

Once the choice to use an automated strategy has been made, the question of which specific algorithm to implement then has to be addressed. The ability to rate and rank algorithms through effective Transaction Cost Analysis (TCA) is increasingly seen as the key to successful performance.

Whilst algorithms in the past have predominantly focused on equities, as the market evolves demand for algorithmic tools that go beyond the traditional realm of the equity world is steadily rising. This has been driven heavily by the presence of multi-asset class hedge funds.

The ability to tweak sell-side algorithms is a major trend likely to continue to occur in the new wave. By streamlining the process of algorithm alteration, an increasing amount of power is being placed in the hands of the buy-side trader. It is yet to be seen how much power the buy-side will take from their sell-side counterpart.

Reasons to order your copy:

- Understand the algorithmic trading environment of the future

- Learn about next generation algorithms targeted at achieving competitive advantage

OurVIEW

CATALYST

SUMMARY

ANALYSIS

The growth of algorithms is driving new responsibilities for the buy-side in the trading process

Technology is gradually shaping a new role for the sell-side

The abundance of algorithms is placing increased focus on analyzing transaction costs

Choosing between algorithms from one provider

Choosing between different providers algorithms

Newer products will follow a different evolutionary cycle to that of equities

Different products are emerging on the algorithmic use but progression must be hesitant

The next generation of algorithms will target greater intelligence to combat competition

Customised algorithms

Portfolio algorithms

Algorithms adapting to events

Advanced algorithms moving up the value chain

Alternatives to using sell-side institutions are gaining in popularity for algorithm access

APPENDIX

Definitions

Extended methodology

Further reading

Ask the analyst

List of Figures

Figure 1: Investment currently focused on trading tools in the front office

Figure 2: The path to algorithmic adoption for equities may not be standard for other products

For more information visit http://www.researchandmarkets.com/reports/c49739

Source: Datamonitor
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Publication:Business Wire
Date:Feb 5, 2007
Words:432
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