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Machine Learning in Asset PricingShipping for this item is FREE, however please allow 6 weeks for shipping, please note once you place the order we are not able to cancel it. Condition: BRAND NEW ISBN: 9780691218700 Format: Trade binding Year: 2021 Publisher: Princeton University Press Description: A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are faced with an abundance of potentially value
Shipping for this item is FREE, however please allow 6 weeks for shipping, please note once you place the order we are not able to cancel it.Condition: BRAND NEW
ISBN: 9780691218700
Format: Trade binding
Year: 2021
Publisher: Princeton University Press
Description:
A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing
Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. In this book, Stefan Nagel examines the promises and challenges of ML applications in asset pricing.
Asset pricing problems are substantially different from the settings for which ML tools were developed originally. To realize the potential of ML methods, they must be adapted for the specific conditions in asset pricing applications. Economic considerations, such as portfolio optimization, absence of near arbitrage, and investor learning can guide the selection and modification of ML tools. Beginning with a brief survey of basic supervised ML methods, Nagel then discusses the application of these techniques in empirical research in asset pricing and shows how they promise to advance the theoretical modeling of financial markets.
Machine Learning in Asset Pricing presents the exciting possibilities of using cutting-edge methods in research on financial asset valuation.
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Great product
I have used this for years and it is excellent. Very easy to use.
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Reviewed in the United States on May 13, 2026
★★★★★ 5
Works great
Be careful NOT to get it on painted surfaces it will remove the paint. It does exactly what they say it does and if you follow the directions to the letter you won't have any problems
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Reviewed in the United States on November 15, 2024
★★★★★ 5
Worth the time and effort.
Perfect solution to my faded out, sun damaged gel coat. Follow the instructions to the letter for a factory-like shine. One bottle was barely enough for our 22' Winnebago, another bottle for our 29' Cabin Cruiser. Many compliments on the shine.
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Reviewed in the United States on April 24, 2025
★★★★★ 4
A quality product which will clean an oxidized fiberglass trailer in preparation for the application of Poli Glow
I used this to remove the Poli Glow previously applied about two years ago to my fiberglass trailer. It seems to do a slightly better job of removing the PG than the other Prep solution, but I didn't do a side-to-side comparison. And the surface never achieved a completely uniform appearance after the stripping, although this may not be possible because of differences in the remaining gel coat surfaces. I also completely washed the trailer with soap & water after using this stripping product. I didn't do this the previous time and thought some of the prep compound may have been left on the surface resulting in a shorter life. Time will tell. Note: it is still "work" to strip the trailer, this is not a "magic" solution, thus the 4-star rating. But it, along with the Poli Glow, was the only way to get my oxidized trailer to look shiny. All the other products tried failed to bring a glow. I will purchase it again when redoing the trailer.
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Reviewed in the United States on March 5, 2017
★★★★★ 5
Stripper
I love this stuff. Been using it for years and never disappoint. Use all there products.
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Reviewed in the United States on October 22, 2025