Research Notes
Short-term carbon price forecasts cut compliance costs
New research shows that optimizing the timing of allowance purchases can lower realized costs for firms in emissions trading systems.
Research
Research Notes
New Outlier-Resistant Tools for Time Series Analysis
Three new estimators provide a computationally efficient way to measure autocorrelation in volatile financial and economic data without outlier distortion.
Reports & Lexicon
The Great Migration to Passive and Low-Cost Fund Structures
New Benchmark Tests AI Speech Accuracy for Earnings Calls
Earnings25 provides a 500-hour dataset to measure how well speech-to-text models handle the specific jargon and structure of financial reporting.
New Correction Factors Fix Global Inequality Data Gaps
A massive new dataset of 122,351 Gini observations provides the tools to harmonize conflicting economic inequality measures across 222 countries.
Hardware Costs Outweigh Gains for Learned Gating in AMC
New FPGA benchmarks show that adding learned feature gating to modulation classifiers increases logic and latency without improving accuracy.
QBook
The quarterly read across what companies are saying and reporting.
QBook coverage is coming soon.
Reports & Lexicon
Research Notes
Next-Gen Satellite Data Sharpens Solar Power Forecasting
A new hybrid neural network leverages higher-resolution imagery to improve surface solar irradiance estimates during cloudy weather.
Emergency Text Alerts Can Move the Needle on Energy Demand
High-frequency smart thermostat data shows that statewide emergency alerts successfully drove household energy conservation during a natural gas shortage.
Corporate Social Stances Drive Measurable Revenue Shifts
New transaction data shows that firm stances on social issues create persistent spending gains from aligned customers and losses from opponents.
New Framework for Optimizing Start-up Milestone Strategies
A new stochastic control model provides a mathematical basis for choosing venture activities based on risk-to-cost efficiency.
Information Lags and Social Herding Drive A-Share Volatility
A new agent-based model separates behavioral imitation from information diffusion to explain price overshooting and reversals in China's equity market.
Hybrid AI Pipeline Boosts Product Data Extraction
A new two-step validation method allows mid-size AI models to extract rare product attributes with the precision of much larger systems.
ML-Driven Gas Lift Optimization Boosts Unconventional Yields
A new automated workflow uses Bayesian optimization to increase production in unconventional fields without requiring expensive downhole hardware.
Dynamic Confidence Thresholds for Fail-Degraded AI Perception
A new design strategy allows autonomous systems to maintain safety in poor visibility by adjusting detection sensitivity based on real-time image quality.
New Analytic Method Speeds Up Compound Option Pricing
A Fourier cosine approach eliminates numerical quadrature in multi-stage options, improving efficiency for complex nested decisions.
Counterfactual Data Fixes B2B Propensity Modeling
A new framework replaces linear data augmentation with counterfactual explanations to better predict organizational buying cycles.
More Research
No other research coverage right now.