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Automated batch auctions in conjunction with continuous financial markets

a technology of financial markets and automatic batch auctions, applied in the field of security markets, can solve the problems of no point binding, significant price volatility, and often inaccurate price at opening

Inactive Publication Date: 2009-03-26
ITG SOFTWARE SOLUTIONS INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0020]Therefore, it is an object of the present invention to provide a method and system for performing securities transactions via a batch auction, whereby the system is incentive compatible in the sense that traders do not have the incentives to game or manipulate the order messages they send to the system.
[0023]Additionally, it is an object of the present invention to provide a method and system for performing such transactions which provides accurate pricing information.

Problems solved by technology

Market openings are often characterized by uncertainty over fundamentals, such as share volume and price, and the presence of multiple potential trading parties.
Thus, large trading volumes often occur near the end of the trading day which has led to concerns regarding price stability and the ability of the markets to provide adequate liquidity.
This system has the inherent drawback in that the specialist has goals which work against accurate price discovery: to provide price continuity, and to maintain a desired inventory of the security.
Thus, the price at opening often does not accurately reflect the price dictated by market supply and demand.
These quotes, however, are at no point binding such that the market makers are under no obligation to execute trades at the quoted price.
There are a number of related drawbacks to such a non-differentiated opening.
First, there is significant price volatility as accumulated overnight orders are executed in an uncoordinated burst in the first few minutes after the start of trading.
This volatility in turn provides an increased potential for price manipulation.
Thus, the priority and allocation rules of the TSE system gives it the inherent drawback in that limit orders at a price equal to the COP can get frozen out of the trading process and are not treated the same as market orders and better priced limit orders.
Furthermore, there is no designated intermediary to provide liquidity when there is an order imbalance.
This system suffers from several drawbacks, including: significant gaming incentives, price instability, and no guaranteed liquidity.
This again leads to gaming which prevents accurate price formation.
The OptiMark electronic trading system employed by the Pacific Stock Exchange (“PSE”) conducts repeated batch auctions over the course of a market day similar in manner to the AZX, but offers less transparency and generates multiple prices such that all trades of a particular stock during a given auction are not made at the same price.
This system does not solve the problems attendant in batch auction methods and systems where providing optimal price determination is hampered by gaming and low liquidity.
Open order books combined with lack of restrictions on the message space prior to the open introduce gaming problems, for example as experienced by traders in the Paris Bourse.
The existence of multiple order books with different levels of transparency and different execution priority rules, as used by the AZX, produce undesirable disparities in fill rates.
An additional drawback is that simple batch auction design is not sufficient to produce accurate pricing in low liquidity, high volatility markets as is present for thinly traded stocks.
Further, intermediated exchanges depending upon human intervention, such as by specialists on the NYSE and TSE, introduce exterior forces upon market price determination, such as the specialists' inventory concerns.
Additionally, price discrimination among traders within a single auction based upon their order types, as done by the PSE OptiMark system, can cause dissatisfaction among participating traders with the outcome produced by the auction system.

Method used

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  • Automated batch auctions in conjunction with continuous financial markets
  • Automated batch auctions in conjunction with continuous financial markets
  • Automated batch auctions in conjunction with continuous financial markets

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0056]Buyer A enters a priced order offering to buy 10,000 shares for ½.

[0057]Buyer B enters a priced order offering to buy 10,000 shares for ⅜.

[0058]Seller X enters a priced order offering to sell 10,000 shares for ⅜.

[0059]Seller Y enters a priced order offering to sell 10,000 shares for ⅜.

[0060]At a price of ½, only A is willing to buy, thus only 10,000 shares would be executed. At a price of ⅜, 20,000 shares would be executed as both A and B are willing to buy 10,000 apiece while X and Y are willing to sell 10,000 apiece. Since there is a single volume maximizing price, the discovered price equals ⅜.

[0061]The volume of unpriced orders will be included in the cumulative supply and demand of volume. For example, if there are 50,000 units of unpriced buy orders and 25,000 units of unpriced sell orders, these shares will be added to volume of priced buy and sell orders, respectively, at each price. If unpriced orders meet priced orders that do not intersect, these unpriced orders wil...

example 2

[0063]Buyer A enters a priced order offering to buy 10,000 shares at a price of 50.00, and an unpriced order offering to buy 50,000 shares at the determined price.

[0064]Buyer B enters a priced order offering to buy 5,000 shares at a price of 50.10.

[0065]Seller X enters a priced order offering to sell 20,000 shares at a price of 50.30, and an unpriced order offering to sell 25,000 shares.

[0066]Seller Y enters a priced order offering to sell 15,000 shares at a price of 50.20.

[0067]Between A, B, X, and Y there are unpriced and non-intersecting priced buy and sell orders on for the particular auction cycle. At a price of 50.00, buyer A would be willing to buy a total of 60,000 shares and buyer B would be willing to buy a total of 5,000 shares. Thus, aggregate demand at a price of 50.00 is 65,000 shares. At this price, neither of seller X's or seller Y's priced orders would be executed. Thus, aggregate supply would equal the total number of unpriced order shares, 25,000.

[0068]At a price ...

example 3

[0075]Same facts as example 1, except that X and Y only wish to sell 5,000 shares apiece for ⅜.

[0076]The standard “S” for the particular stock in question is 0.25 (representing a belief that a 25% excess of supply over demand, or vice versa, would constitute a large enough net order imbalance to significantly impact price).

[0077]Using equation 1, B is 10,000, O is 10,000, and L is 10,000, thus R is calculated to equal 0.00 (i.e., no net order imbalance). Since R is less than S, the net order imbalance is deemed to not significantly impact price.

[0078]Given that X and Y will sell 5,000 shares apiece (10,000 total) whether the price is ½ or ⅜ (there is no single volume maximizing price) and that R is less than S, the discovered price will be the mid-point of the volume maximizing range (⅜ to ½). Thus, the price is 7 / 16.

[0079]If the imbalance ratio is greater than the appropriate standard 209, the imbalance of supply and demand of the particular stock within the volume maximizing range...

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PUM

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Abstract

A method and system for performing a batch auction whereby a series of orders, according to a variety of predetermined order types, are generated by qualified market participants and communicated to an auction system. The auction system takes into account each order and its impact upon relative supply and demand to determine by a preset algorithm a price and share transaction quantity. Trades are executed at the price, and a portion of the transaction quantity is allocated to each investor on a fair basis dependent upon their initial orders. In embodiments of the present invention, the auction system uses a computer system or network designed to automatically perform one or more steps of the above method. Such a system is preferably connected to one or more ECNs such that non-executed shares can be automatically sent to outside sources for execution. In alternative embodiments, the invention includes the use of a one or more intermediaries or market makers to cover certain unexecuted trades at the determined price. The present invention is preferably used to conduct batch auctions at the opening and closing of securities trading markets.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims priority to and it a continuation of application Ser. No. 09 / 480,991 which was filed Jan. 11, 2000, the entire contents of which are hereby incorporated by reference.BACKGROUND OF THE INVENTION[0002]1. Field of the Invention[0003]This invention relates generally to securities markets. Particularly, the invention relates to a system and method for batch auctions which are designed to occur at preset times. This can facilitate securities trading particularly either preceding or following periods of trade stoppage or inactivity.[0004]2. Description of the Related Art[0005]A securities trading mechanism can be thought of as a set of protocols that translate the investors' latent demands into realized prices and quantities. The trading mechanism employed at market opening represents the first opportunity to trade after the overnight or weekend non-trading period. Market openings are often characterized by uncertainty ov...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06Q40/00G06Q30/08
CPCG06Q30/08G06Q40/04G06Q40/00
Inventor CUSHING, DAVID
Owner ITG SOFTWARE SOLUTIONS INC
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