I read a paper from 2009 by Agrawal et al titled “A Unified Framework for Dynamic Pari-Mutuel Information Market Design” and these are my takeaways:
Pari-mutuel betting is an antiquated term used to describe (modern) prediction markets. However, since Hanson’s LMSR paper came out in 2002, there wasn’t better words to describe the concept of automated market making.
Parimutuel betting (from French pari mutuel, "mutual bet") is a betting system in which all bets of a particular type are placed together in a pool; taxes and the "house-take" or "vigorish" are deducted, and payoff odds are calculated by sharing the pool among all winning bets. In some countries it is known as the Tote after the totalisator, which calculates and displays bets already made. - Wikipedia
I suspect the term is French because France has a rich history of analysis (a precursor modern probability theory) - Fermat, Laplace, Legendre, Cauchy, Hermite, Fourier, Poincare. There were too many individuals to keep track of so we just started calling new mathematicians as Bourbaki in the 20th century (a joke!).
Truthfulness and conditional probability go hand in hand. Conditional probability is special because it gives a mathematical language to quantify a prior belief. This insight wasn’t learned directly from the paper, but also from reading Hanson’s LMSR paper and Othman’s liquidity sensitive paper.
The fact is attributed to Chen & Pennock [5]. This makes intuitive sense and I felt like I didn’t need further convincing. This fact hints more deeply at idea of duality, a rabbit hole that is easy to go down.
This was a succinct statement. Certainly the inner product as the measure of choice is very important. The concepts of inner products, space duality, and smooth manifolds are always fun to ponder.
In the SCPM model, the market organizer will typically charge the trader for an accepted number of shares based on the final price calculated by the mechanism. However, in the market scoring rules such as LMSR, the trader is actually charged by a cost function which is equivalent to the integral of the pricing function over the number of shares accepted. Thus, as the price increases while the order is filled, the trader is charged the instantaneous price for each infinitesimally small portion of his order that is filled.
Although SCPM and LMSR appear to have different mechanisms, the paper provides a “unified framework” that offers a classification for these mechanisms. SCPM and LMSR are essentially equivalent.
This was a great take from the market maker point of view. If a market maker or liquidity provider wants to change their risk profile, they can select a different non-decreasing, concave utility function. Unfortunately this is easier said than done in the world of DeFi and CFMMs.
TIL #2 - The AMM Design Trilemma
Recently I have been on a quest to understand AMM’s from a historical context (pre-DeFi). This 2013 paper by Othman et al titled “A Practical Liquidity-Sensitive Automated Market Maker” takes an axiomatic approach to unify AMM designs by characterizing AMMs by three properties - path independence, translation invariance, and liquidity sensitivity.1 - Three properties to characterize AMMs - path independence, translation invariance, and liquidity sensitivityPath IndependencePath independence m...
DeFi Primitive Risk Methodology (DPRM)
“DeFi Primitive Risk Methodology (DPRM) is an open source risk management library (currently in development) that lets users perform both quantitative and qualitative risk analysis on groups of DeFi primitives using stochastic methods to simulate first and second order effects from any combination of tokenomics designs.”Problem - Risk Management in DeFi is hardIn DeFi, a plethora of innovation is occurring with the creation of many new macro DeFi primitives such as liquidity pools, bonds, and...
MEV Arbitrage on Olympus POL
1 - Abstract 2 - Intro 2a - MEV Arbitrage 2b - Olympus POL 3 - Data Collection 3a - Sushiswap LP 3b - Olympus POL 4 - Results 4a - Swap Distributions 4b - Swap Statistics 4c - Buy/Sell Trading Flows 5 - Final Remarks 1 - AbstractMaximal extractable value (MEV) bots perform atomic arbitrage transactions on DEX-based liquidity pools. Although accounting for less than 1% of total unique addresses, these bots execute the majority of transactions in Olympus protocol owned liquidity (POL) both in t...
decentralized bankster
I read a paper from 2009 by Agrawal et al titled “A Unified Framework for Dynamic Pari-Mutuel Information Market Design” and these are my takeaways:
Pari-mutuel betting is an antiquated term used to describe (modern) prediction markets. However, since Hanson’s LMSR paper came out in 2002, there wasn’t better words to describe the concept of automated market making.
Parimutuel betting (from French pari mutuel, "mutual bet") is a betting system in which all bets of a particular type are placed together in a pool; taxes and the "house-take" or "vigorish" are deducted, and payoff odds are calculated by sharing the pool among all winning bets. In some countries it is known as the Tote after the totalisator, which calculates and displays bets already made. - Wikipedia
I suspect the term is French because France has a rich history of analysis (a precursor modern probability theory) - Fermat, Laplace, Legendre, Cauchy, Hermite, Fourier, Poincare. There were too many individuals to keep track of so we just started calling new mathematicians as Bourbaki in the 20th century (a joke!).
Truthfulness and conditional probability go hand in hand. Conditional probability is special because it gives a mathematical language to quantify a prior belief. This insight wasn’t learned directly from the paper, but also from reading Hanson’s LMSR paper and Othman’s liquidity sensitive paper.
The fact is attributed to Chen & Pennock [5]. This makes intuitive sense and I felt like I didn’t need further convincing. This fact hints more deeply at idea of duality, a rabbit hole that is easy to go down.
This was a succinct statement. Certainly the inner product as the measure of choice is very important. The concepts of inner products, space duality, and smooth manifolds are always fun to ponder.
In the SCPM model, the market organizer will typically charge the trader for an accepted number of shares based on the final price calculated by the mechanism. However, in the market scoring rules such as LMSR, the trader is actually charged by a cost function which is equivalent to the integral of the pricing function over the number of shares accepted. Thus, as the price increases while the order is filled, the trader is charged the instantaneous price for each infinitesimally small portion of his order that is filled.
Although SCPM and LMSR appear to have different mechanisms, the paper provides a “unified framework” that offers a classification for these mechanisms. SCPM and LMSR are essentially equivalent.
This was a great take from the market maker point of view. If a market maker or liquidity provider wants to change their risk profile, they can select a different non-decreasing, concave utility function. Unfortunately this is easier said than done in the world of DeFi and CFMMs.
TIL #2 - The AMM Design Trilemma
Recently I have been on a quest to understand AMM’s from a historical context (pre-DeFi). This 2013 paper by Othman et al titled “A Practical Liquidity-Sensitive Automated Market Maker” takes an axiomatic approach to unify AMM designs by characterizing AMMs by three properties - path independence, translation invariance, and liquidity sensitivity.1 - Three properties to characterize AMMs - path independence, translation invariance, and liquidity sensitivityPath IndependencePath independence m...
DeFi Primitive Risk Methodology (DPRM)
“DeFi Primitive Risk Methodology (DPRM) is an open source risk management library (currently in development) that lets users perform both quantitative and qualitative risk analysis on groups of DeFi primitives using stochastic methods to simulate first and second order effects from any combination of tokenomics designs.”Problem - Risk Management in DeFi is hardIn DeFi, a plethora of innovation is occurring with the creation of many new macro DeFi primitives such as liquidity pools, bonds, and...
MEV Arbitrage on Olympus POL
1 - Abstract 2 - Intro 2a - MEV Arbitrage 2b - Olympus POL 3 - Data Collection 3a - Sushiswap LP 3b - Olympus POL 4 - Results 4a - Swap Distributions 4b - Swap Statistics 4c - Buy/Sell Trading Flows 5 - Final Remarks 1 - AbstractMaximal extractable value (MEV) bots perform atomic arbitrage transactions on DEX-based liquidity pools. Although accounting for less than 1% of total unique addresses, these bots execute the majority of transactions in Olympus protocol owned liquidity (POL) both in t...
decentralized bankster
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