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A multiple listing service (MLS, also multiple listing system or multiple listings service) is an organization with a suite of services that real estate brokers use to establish contractual offers of cooperation and compensation (among brokers) and accumulate and disseminate information to enable appraisals.
Million Dollar Listing is an American reality television series franchise on the Bravo network. Each show chronicles the professional and personal lives of real estate agents based in a major American city as they sell high-end properties, giving viewers an inside look at the world of high-priced real estate. [1]
Example of the optimal Kelly betting fraction, versus expected return of other fractional bets. In probability theory, the Kelly criterion (or Kelly strategy or Kelly bet) is a formula for sizing a sequence of bets by maximizing the long-term expected value of the logarithm of wealth, which is equivalent to maximizing the long-term expected geometric growth rate.
Million Dollar Listing New York is an American reality television series that aired on Bravo from March 7, 2012, to August 26, 2021. [1] The show follows the lives of several luxury real estate agents as they represent property owners in New York City's five boroughs. It is a spin-off of Million Dollar Listing Los Angeles. [2]
Million Dollar Listing Los Angeles (previously Million Dollar Listing) is an American reality television series that premiered on Bravo on August 29, 2006. [1] The series chronicles the professional and personal lives of realtors in the real estate Industry based in Beverly Hills, Hollywood and Malibu as they sell high-end properties.
John Larry Kelly Jr. (December 26, 1923 – March 18, 1965), was an American scientist who worked at Bell Labs. From a "system he'd developed to analyze information transmitted over networks," from Claude Shannon's earlier work on information theory , he is best known for his 1956 work in creating the Kelly criterion formula.
In probability theory, Proebsting's paradox is an argument that appears to show that the Kelly criterion can lead to ruin. Although it can be resolved mathematically, it raises some interesting issues about the practical application of Kelly, especially in investing. It was named and first discussed by Edward O. Thorp in 2008. [1]
The real problem with Kelly Criterion in the Real World is that it expects that you know the TRUE probability of winning. But you do not. You can only estimate the probability of winning based on the data you have. So your estimate of the TRUE probability of winning has a degree of uncertainty.