Tootfinder

Read "What went wrong with capitalism" by Ruchir Sharma.
A mildly interesting description of the major events in world an US economics in the last 50 years. Might
be a fair summary for anyone who didn't live through it or has a poor memory.
In short he thinks what went wrong was government bailing out failure leading to massive debts and increa
sed inequality.
Governments took over all the things instead of letting capitalism sort them out, he reckons, and wheneve
r a big industry or company fails you just get socialism for the rich and a bail-out from new printed money.
Easy cheap money, constant bail-outs, government intervention, leading to zombie companies racking up every larger debt to exist, billionaires who can't fail due to government support, and a stock market that's up-only bringing a flood of inefficiently-allocated capital.
Is he right? I mean, maybe, sort of. But when an industry really can't be allowed to fail, say water supply and waterway management, allowing private capital to extract maximum resources from it isn't the best method to manage it in the first place. No wonder they need bail-outs. Capitalism fails here because capitalism isn't the right solution here. We need publicly owned national services, not robber barons without
bailouts.
So, you know, half right. Perhaps these are some of the reasons why capitalism fails, but also we shouldn't even be trying to apply capitalism to every single thing in the first place.
#reading #capitalism #economics #RuchirSharma

Landbase, whose GPT-4o-based AI tool automates outreach marketing, raised a $30M Series A co-led by Ashton Kutcher's Sound Ventures and Picus Capital (Julie Bort/TechCrunch)
https://techcrunch.com/2025/06/12/how-

How AI sales startup Landbase nabbed Ashton Kutcher’s Sound Ventures to lead its $30M Series A | TechCrunch
A concept Landbase's CEO calls "digital trust" led nearly 130 VCs to pursue the "vibe GTM" startup.

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market
Yimin Du
https://arxiv.org/abs/2506.06356 https://

Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market
This paper presents a sophisticated multi-day turnover quantitative trading algorithm that integrates advanced deep learning techniques with comprehensive cross-sectional stock prediction for the Chinese A-share market. Our framework combines five interconnected modules: initial stock selection through deep cross-sectional prediction networks, opening signal distribution analysis using mixture models for arbitrage identification, market capitalization and liquidity-based dynamic position sizing…

Meter, which sells and maintains packages of custom data center networking equipment, raised $170M led by General Catalyst at a $1B valuation (Michael J. de la Merced/New York Times)
https://www.nytimes.com/2025/06/12/business/dealbook/meter-n…

Meter, Networking Start-Up, Raises $170 Million
The company has collected $170 million in new capital as it seeks to help connect data centers and other businesses in the age of artificial intelligence.

Industrial Flexibility Investment Under Uncertainty: A Multi-Stage Stochastic Framework Considering Energy and Reserve Market Participation
Amund Norland, Lasse Skare, Ole Jakob Viken, Stian Backe
https://arxiv.org/abs/2506.08638

Industrial Flexibility Investment Under Uncertainty: A Multi-Stage Stochastic Framework Considering Energy and Reserve Market Participation
The global energy transition toward net-zero emissions by 2050 is expected to increase the share of variable renewable energy sources (VRES) in the energy mix. As a result, industrial actors will encounter more complex market conditions, characterized by volatile electricity prices, rising carbon costs, and stricter regulations. This situation calls for the industry to capitalize on opportunities in both spot-price arbitrage and reserve market participation, while also meeting future regulatory…

So look, if you talk to me about the job threat from the things we currently call “AI,” well…
…if where you’re going with that is “The concentration of wealth is an existential crisis! Establish UBI! 99% marginal tax rate! Capital gains tax! Wealth tax! Abolish billionaires!” then yes, I’m •all• ears. My pitchfork is already sharpened.
But if where you’re going is “Get in on it now while you still can! Buy the AI vendors’ products! Drink radium for that youthful glow!” then…kthanksbye. I am not going to be a vector for your marketing propaganda, no matter how agitated you are.
/end

Replication of Reference-Dependent Preferences and the Risk-Return Trade-Off in the Chinese Market
Penggan Xu
https://arxiv.org/abs/2505.20608 https://

Replication of Reference-Dependent Preferences and the Risk-Return Trade-Off in the Chinese Market
This study replicates the findings of Wang et al. (2017) on reference-dependent preferences and their impact on the risk-return trade-off in the Chinese stock market, a unique context characterized by high retail investor participation, speculative trading behavior, and regulatory complexities. Capital Gains Overhang (CGO), a proxy for unrealized gains or losses, is employed to explore how behavioral biases shape cross-sectional stock returns in an emerging market setting. Utilizing data from 1…

An Interpretable Machine Learning Approach in Predicting Inflation Using Payments System Data: A Case Study of Indonesia
Wishnu Badrawani
https://arxiv.org/abs/2506.10369

An Interpretable Machine Learning Approach in Predicting Inflation Using Payments System Data: A Case Study of Indonesia
This paper evaluates the performance of prominent machine learning (ML) algorithms in predicting Indonesia's inflation using the payment system, capital market, and macroeconomic data. We compare the forecasting performance of each ML model, namely shrinkage regression, ensemble learning, and super vector regression, to that of the univariate time series ARIMA and SARIMA models. We examine various out-of-bag sample periods in each ML model to determine the appropriate data-splitting ratios for …

So look, if you talk to me about the job threat from the things we currently call “AI,” well…
…if where you’re going with that is “The concentration of wealth is an existential crisis! Establish UBI! 99% marginal tax rate! Capital gains tax! Wealth tax! Abolish billionaires!” then yes, I’m •all• ears. My pitchfork is already sharpened.
But if where you’re going is “Get in on it now while you still can! Buy the AI vendors’ products! Drink radium for that youthful glow!” then…kthanksbye. I am not going to be a vector for your marketing propaganda, no matter how agitated you are.
/end

The Stablecoin Discount: Evidence of Tether's U.S. Treasury Bill Market Share in Lowering Yields
Lennart Ante, Aman Saggu, Ingo Fiedler
https://arxiv.org/abs/2505.12413

The Stablecoin Discount: Evidence of Tether's U.S. Treasury Bill Market Share in Lowering Yields
Stablecoins represent a critical bridge between cryptocurrency and traditional finance, with Tether (USDT) dominating the sector as the largest stablecoin by market capitalization. By Q1 2025, Tether directly held approximately $98.5 billion in U.S. Treasury bills, representing 1.6% of all outstanding Treasury bills, making it one of the largest non-sovereign buyers in this crucial asset class, on par with nation-state-level investors. This paper investigates how Tether's market share of U.S. T…