We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Ralph Vince 2009 Leverage Space …
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Ralph Vince 2009 Leverage Space …
Uncategorized

Ralph Vince 2009 Leverage Space …

Editor SDC
Editor SDC
6 Min Read
Ralph Vince 2009 Leverage Space ...
Illustrative image generated with OpenAI gpt-image-1.
SHARE

I read Ralph Vince’s new book, The Leverage Space Trading Model, this evening. It was released very recently on May 26th ’09. Previously I read one of his older books, The Handbook of Portfolio Mathematics. Vince writes about money management, i.e. position sizing, which tries to answer the question, “How much of my capital should I bet on any given trade in order to maximize my wealth over time”.

This one is much shorter at under 200 pages which is definitely an advantage over the previous. Overall, it’s an interesting read, but with big issues:
Vince seems to be living in an insulated world. He apparently hasn’t followed recent advances is portfolio optimization, and he is calls Monte Carlo extremely difficult. He is extremely critical of things he shows only a basic understanding of.
For example one of the major justifications he claims for his “new” theory is that mean-variance portfolio optimization (“modern portfolio theory”) doesn’t consider leverage. But in fact MVAR optimization is equivalent to Kelly criterion betting. In all his examples of MVAR he forgets the risk free asset, which allows for leverage to come into the optimization. Furthermore, Monte Carlo simulation is trivial. Humorously he doesn’t seem to realize that his proposal is essentially equivalent to an approximate Monte Carlo.
He seems to have a tendency to become obsessed with one or two little problems of the mainstream/popular approaches to money management and now he lashes out against them, overdoing the nonconformity. He creates his own notation, metaphors, names for theories (he may simply not be aware of similar work), and as I mentioned above, he doesn’t really understand all the things he lashes out against. Overall it comes across sounding a little bit immature. Academic publishing is a long discourse, not a contest. Also, he sounds like he has a thesaurus on hand while he writes.
The last chapter is simply ridiculous. Basically he recommends that everyone should bet according to the scheme outlined in the St. Petersburg Paradox (Wikipedia). As I was reading it I kept thinking he would say it was a joke or just an idea to think about. But he’s really saying that banks, individuals, and funds should go out and use this strategy, because supposedly humans only care about being profitable with the highest probability (he gives a couple of loose justifications from cherry-picked psychology/econ utility theory works). Essentially he’s saying everyone should follow LTCM‘s strategy.
At the same time, if you can look past these issues, Vince has new ideas. The first few chapters will definitely expand your understanding of position sizing. I’m disappointed that Vince’s creativity couldn’t have illuminated more fruitful paths.
One thing I was thinking he may go into when I read the title of Chapter 6 “A Framework to Satisfy Both Economic Theory and Portfolio Managers” is applying optimal ‘betting’ to everyday non-financial choices. Any choice with an unknown outcome can be considered a bet, but some result non-monetary gains, and maybe he could have analyzed these similarly.
Overall, I was diappointed that he didn’t do more, but happy with the ideas I was able to selectively extract.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Best VMware Alternatives in Thailand for Private Cloud and HCI Deployments -- AI-generated illustration
Best VMware Alternatives in Thailand for Private Cloud and HCI Deployments
Cloud Computing Exclusive IT
Using Safety Metrics and Incident Data to Reduce Construction Risk and Insurance Costs -- AI-generated illustration
Using Safety Metrics and Incident Data to Reduce Construction Risk and Insurance Costs
Big Data Exclusive
How Business Intelligence Can Help Small Businesses Build Better Decision Rules -- AI-generated illustration
How Business Intelligence Can Help Small Businesses Build Better Decision Rules
Business Intelligence Business Rules Exclusive
Stellar Repair for MS SQL Review: Can It Repair SQL Databases? -- AI-generated illustration
Stellar Repair for MS SQL Review: Can It Repair SQL Databases?
Exclusive Software SQL

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Is Your Analytics Project Stumbling Because of Low Numerical Literacy?
Uncategorized

Is Your Analytics Project Stumbling Because of Low Numerical Literacy?

6 Min Read
Could this be the next big – whoops, it’s already here!
Uncategorized

Could this be the next big – whoops, it’s already here!

3 Min Read
Almost Intellectual Systems
Uncategorized

Almost Intellectual Systems

2 Min Read
Resources to Protect Personal Privacy and Mobile Security
Uncategorized

Resources to Protect Personal Privacy and Mobile Security

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?