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Samuel Po Shing Wong - Quantitative Trading Algorithms Analytics - S9000z

Description: About this Item The item is a book Hardback The Author Name is Samuel Po Shing Wong The Title is Quantitative Trading : Algorithms, Analytics, Data, Models, Optimization Condition New Other Comments Edition Number - 0001. Pages Count - 380. Binding type - Hardcover. Content Language - English Category - BUSINESS & ECONOMICS / Finance / General MATHEMATICS / General MATHEMATICS / Probability & Statistics / General Product Description - The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies, risk analysis, and management. The second part covers market impact models, network models, multi-asset trading, machine learning techniques, and nonlinear filtering. The third part discusses electronic market making, liquidity, systemic risk, recent developments and debates on the subject. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details  are provided automatically  from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.  The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling.   Gift IdeasThis is a  great Christmas gift idea.   Hours of ServiceWe have many warehouses,  some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 165955037

Price: 149.82 USD

Location: US

End Time: 2025-02-10T17:46:40.000Z

Shipping Cost: 0 USD

Product Images

Samuel Po Shing Wong - Quantitative Trading   Algorithms Analytics  - S9000z

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Fiction/Non-Fiction: Non-Fiction

Genre/Subject: BUSINESS ECONOMICS / Finance / General

Brand: Taylor & Francis Inc

Weight: 0.71

Style: NA

Title: Quantitative Trading Algorithms Analytics Data Models Optim

Release Title: Quantitative Trading Algorithms Analytics Data Models Optim

Record Grading: New

Sleeve Grading: New

Platform: NA

Size: NA

Film/TV Title: Quantitative Trading Algorithms Analytics Data Models Opti

Colour: NA

Material: NA

Department: NA

Movie/TV Title: Quantitative Trading Algorithms Analytics Data Models Opti

UPC: 9781498706483

EAN: 9781498706483

ISBN: 9781498706483

Binding Type: Hardcover

Main Stone: NA

Metal Purity: NA

Metal: NA

Connectivity: NA

Model: NA

Number of Pages: 357 Pages

Language: English

Publication Name: Quantitative Trading : Algorithms, Analytics, Data, Models, Optimization

Publisher: CRC Press LLC

Item Height: 1 in

Subject: Finance / General, Probability & Statistics / General, General, Investments & Securities / Stocks

Publication Year: 2016

Item Weight: 30.4 Oz

Type: Textbook

Author: Xin Guo, Samuel Po-Shing Wong, Tze Leung Lai, Howard Shek

Subject Area: Mathematics, Business & Economics

Item Length: 9.5 in

Item Width: 6.3 in

Format: Hardcover

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