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Money | Science
@moneyscience
Quantitative Finance News, Research & Resources. See also: @risk_mgmt, @fin_tech, @hedgefundfocus, @businessschools &
UK
Joined July 2008
3.8K
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6.2K
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Money | Science
@moneyscience
7 days ago
I just launched this tool for Landlords in England! https://t.co/vgjP8RObJE If you're interested in Beta Testing and would like a free landlord report you can request an access code here: https://t.co/x0Svp6qWPY
#landlords
#compliance
#rentalrightsact
Money | Science
@moneyscience
4 months ago
Researchers Solve One of the Most Notorious Open Problems in Math A breakthrough in the field of random walks. https://t.co/6OkX1GfanL
Money | Science
@moneyscience
4 months ago
Do Whitepaper Claims Predict Market Behavior? Evidence from Cryptocurrency Factor Analysis https://t.co/DJhQUSZI1x
Money | Science
@moneyscience
4 months ago
ASRI: An Aggregated Systemic Risk Index for Cryptocurrency Markets https://t.co/qfaM9AYo0r
Who to follow
TradingTech Insight
@TradingTechIns
TradingTech Insight delves into the world of trading technology, covering trading infrastructure, low latency and more.
Brookings Econ
@BrookingsEcon
Examining how the economy works and what can be done to help it work better. Get the ES Bulletin: https://t.co/2wTPHnk0W3
Irene Aldridge
@irenealdridge
#Founder and #CEO of @AbleMarkets and @AbleBlox. Visiting Prof at #Cornell #FinEngineering. Author of books on #HFT, #DataScience in #Finance, #RealTime #Risk
Money | Science
@moneyscience
4 months ago
The Extremity Premium: Sentiment Regimes and Adverse Selection in Cryptocurrency Markets https://t.co/cyoyYpGrqA
Money | Science
@moneyscience
4 months ago
Same Returns, Different Risks: How Cryptocurrency Markets Process Infrastructure vs Regulatory Shocks https://t.co/VcYwvGE1Vl
Money | Science
@moneyscience
5 months ago
Designing a Token Economy: Incentives, Governance, and Tokenomics https://t.co/LiCGrvrwcU
Money | Science
@moneyscience
5 months ago
The Extremity Premium: Sentiment Regimes and Adverse Selection in Cryptocurrency Markets https://t.co/WgknhZJp2E
Money | Science
@moneyscience
5 months ago
Sentiment Without Structure: Differential Market Responses to Infrastructure vs Regulatory Events in Cryptocurrency Markets https://t.co/Zkld6Gnu2s
Money | Science
@moneyscience
5 months ago
On- and off-chain demand and supply drivers of Bitcoin price https://t.co/XqBZthLeaU
Money | Science
@moneyscience
5 months ago
Cryptocurrency as an Investable Asset Class: Coming of Age https://t.co/WLECpfHUpO
Money | Science
@moneyscience
5 months ago
Do Whitepaper Claims Predict Market Behavior? Evidence from Cryptocurrency Factor Analysis https://t.co/5nTVxRjPGj
Money | Science
@moneyscience
5 months ago
ASRI: An Aggregated Systemic Risk Index for Cryptocurrency Markets https://t.co/X3PGrWUSoK
Money | Science
@moneyscience
5 months ago
PredictionMarketBench: A SWE-bench-Style Framework for Backtesting Trading Agents on Prediction Markets https://t.co/tKHUHdCR4Y
Money | Science
@moneyscience
5 months ago
Explainable Patterns in Cryptocurrency Microstructure https://t.co/zGUNDKzczK
Money | Science
@moneyscience
5 months ago
Do Whitepaper Claims Predict Market Behavior? Evidence from Cryptocurrency Factor Analysis https://t.co/CJ1QmOrwGQ
Money | Science
@moneyscience
5 months ago
Do Whitepaper Claims Predict Market Behavior? Evidence from Cryptocurrency Factor Analysis https://t.co/6YgOdHTFkl
Money | Science
@moneyscience
5 months ago
The Limits of Lognormal: Assessing Cryptocurrency Volatility and VaR using Geometric Brownian Motion https://t.co/7N94cjpEAu
Money | Science
@moneyscience
5 months ago
Leveraged positions on decentralized lending platforms https://t.co/rYZX2ZUWkz
Money | Science
@moneyscience
5 months ago
To be or not to be: Roughness or long memory in volatility? https://t.co/j3RJbPAVlm
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