Explore the corpus

Find evidence, not just documents.

Search Minerva’s current Findings using transparent hybrid retrieval. Results remain strictly inside the configured corpus.

Hybrid retrieval

Results for “Education/Social Science”

30 findings

65match

Finding 80021 source

The study shows positive emotion, along with political stability and education, shapes bank risk profiles and links emotional well-being with financial stability, thereby prompting expansive research into cultural risk influences.

LexicalMeaningQualityGraph

Matched: education, science, social

59match

Finding 80011 source

Researchers harness quasi-experimental techniques and instrumental variables, exploiting natural experiments like the Beijing Olympics and Delhi gang rape to address endogeneity, thereby strengthening causal inference in global financial risk assessment.

LexicalMeaningQualityGraph

Matched: education, science, social

59match

Finding 80001 source

Study reveals national happiness reduces bank risk, challenging traditional risk management theories by linking positive emotions to safer banking practices with robust data spanning 68 countries between 2006 and 2020.

LexicalMeaningQualityGraph

Matched: education, science, social

58match

Finding 80031 source

This paper innovatively links national happiness with bank risk via quasi-experimental methods on a global dataset. It uniquely infuses behavioral finance by integrating sentiment into risk management models. Despite using established econometric techniques, its interdisciplinary perspective and systematic approach yield moderately original, compelling insights that underscore the papers timely relevance.

LexicalMeaningQualityGraph

Matched: education, science, social

56match

Finding 77471 source

A major new study challenges the belief that generative AI is driving the decline in early-career hiring, revealing that the rise of remote work after the pandemic is a much stronger factor.

LexicalMeaningQualityGraph

Matched: education, science, social

56match

Finding 77481 source

Researchers analyzed 243 million hires and 407 million job postings from the US, UK, Canada, and Australia (2017--2025), using advanced statistical methods to separate the effects of AI and remote work.

LexicalMeaningQualityGraph

Matched: education, science, social

55match

Finding 77491 source

Findings show that when remote work is considered, AIs impact on junior hiring nearly vanishes, urging policymakers and employers to rethink how work-from-home trends are shaping opportunities for young workers.

LexicalMeaningQualityGraph

Matched: education, science, social

54match

Finding 77501 source

This paper uniquely analyzes generative AI and remote works effects on early-career hiring using large datasets and robust econometric methods. Its novelty lies in revealing remote work as a stronger predictor of junior hiring declines than AI. However, its originality and direct relevance to hedge fund AI adoption remain limited.

LexicalMeaningQualityGraph

Matched: education, science, social

48match

Finding 62681 source

Actionable authority rule spans delegation, automation, loan screening, tenure review. Model suggests generative AI as final arbiterbroad correction, hallucination riskreducing human input. Limits: simplified errors, no calibration, measurement challenges, oversight.

LexicalMeaningQualityGraph

Matched: education, science, social

47match

Finding 62671 source

Counterintuitively, highest-quality layers shouldnt maximize error cuts; their job is minimizing new errors. Model predicts asymmetric effort: early stages lighter, correction-focused; later heavier, caution-focused, with closed-form ordering and comparative statics.

LexicalMeaningQualityGraph

Matched: education, science, social

47match

Finding 62661 source

Zhong advances a layering theory where humans, tools, and generative AI sequentially correct yet may introduce errors. A quality metric, $q=\frac{\text{correction}}{\text{new-error}}$, uniquely orders stages: higher-quality agents optimally appear later downstream.

LexicalMeaningQualityGraph

Matched: education, science, social

46match

Finding 62691 source

Introduces a general, multi-layer human--machine--GenAI decision framework with a one-dimensional quality metric $Q=\frac{\text{corrections}}{\text{new errors}}$ guiding sequencing and authority. It yields novel insights on asymmetric effort allocation and plausibly positions GenAI as final decision-maker despite hallucinations. Impactful for designing hedge-fund review/governance pipelines, yet contributions are theoretical, cross-domain, and incrementally novel only.

LexicalMeaningQualityGraph

Matched: education, science, social

43match

Finding 37351 source

Embedding ESG scores with efficiency metrics reliably promotes social responsibility, boosts financial outcomes, and supports a dynamic efficiencybased allocation framework, adapting to shifting market conditions and comprehensive data insights remarkably.

LexicalMeaningQualityGraph

Matched: science, social

42match

Finding 55651 source

Analysts with formal economic education and greater experience are more likely to use these logic chains, suggesting that expertise and lower cognitive costs encourage deeper, more explicit analysis in financial forecasting.

LexicalMeaningQualityGraph

Matched: education

41match

Finding 43201 source

Study reveals fintech lending triggers debt spirals, as promotional mobile messages lure borrowers into overborrowing, increasing consumption, loan delinquency, and economic and social impacts on vulnerable populations across developing markets.

LexicalMeaningQualityGraph

Matched: science, social

41match

Finding 55671 source

This paper uniquely leverages large language models to extract 'macro-equity logic chains' from analyst reports, directly connecting macroeconomic shocks to firm-level outcomes. Its innovative focus on cognitive costs, analyst education, and explicit reasonings effect on forecast accuracy and asset pricing offers fresh insights, significantly advancing AI-driven financial analysis and trading strategies.

LexicalMeaningQualityGraph

Matched: education

40match

Finding 37361 source

Novel efficiencyweighting and efficiencyscreening strategies, validated by rigorous linear programming and regression analyses over 41,000 observations and 4,000 rebalancings, reveal tradeoffs including high turnover costs and notable screening limitations overall.

LexicalMeaningQualityGraph

Matched: science, social

40match

Finding 37341 source

Integrating multi-directional efficiency analysis (MEA) into portfolio management yields both robust financial returns and enhanced sustainability, outperforming mean-variance, naive, and value-weighted benchmarks in US and European equities over a decade.

LexicalMeaningQualityGraph

Matched: science, social

40match

Finding 20421 source

Surprisingly, when spot ticket prices remain moderate, on-site upgrades generate no additional revenue. Yet if spot prices surge, adding upgrades boosts profits and social welfare, though consumer surplus declines slightly.

LexicalMeaningQualityGraph

Matched: education, science, social

39match

Finding 43211 source

Surprisingly, approved borrowers receive more unsolicited promotional messages from various platforms than rejected applicants, highlighting powerful alternative data use in targeted marketing strategies and raising concerns about privacy and exploitation.

LexicalMeaningQualityGraph

Matched: science, social

39match

Finding 43221 source

Researchers introduce 'Message Passive' to classify borrower behavior via difference-in-differences and regression discontinuity analysis on 2.7 million observations, finding low financial literacy and limited credit access significantly intensify lending risks.

LexicalMeaningQualityGraph

Matched: science, social

39match

Finding 37371 source

This paper introduces an original multi-directional efficiency analysis approach integrating both financial and $ESG$ factors to optimize socially responsible investments. Its novel methodology contrasts traditional DEA and mean-variance strategies, offering fresh insights for portfolio management. The work is compelling, relevant, and impactful, significantly advancing sustainable investing analytics with substantial innovation.

LexicalMeaningQualityGraph

Matched: science, social

39match

Finding 20411 source

Researchers integrate advance ticket sales and on-site upgrades into a priority-queuing model, unveiling an advance-and-spot selling scheme that explains theme parks diverse pricing tactics under varying congestion risks and pricing.

LexicalMeaningQualityGraph

Matched: education, science, social

39match

Finding 20431 source

Using a two-stage queueing game under full and partial advance access, numerical simulations reveal upgrades close revenue gaps amid high congestion. Extensions include customer balking, empirical validation remains research target.

LexicalMeaningQualityGraph

Matched: education, science, social

39match

Finding 31881 source

The research highlights the practical applicability of CryptoBubbles and MBHN in forecasting speculative financial risks. Potential applications include quantitative trading and risk management. Future research could explore enhancing model interpretability and applying the approach to other domains like healthcare.

LexicalMeaningQualityGraph

Matched: social

38match

Finding 20441 source

By integrating advance selling and spot pricing with priority upgrades in amusement park ticket queues, this paper offers a novel service operations model. Its originality lies in blending dynamic pricing and upgrading mechanisms within queueing economics, yielding fresh revenue management insights. Readers valuing incremental, sound advances will find it compelling.

LexicalMeaningQualityGraph

Matched: education, science, social

38match

Finding 43231 source

The paper innovatively examines fintech lendings potential to trigger $debt spirals$ by analyzing alternative data and mobile message promotions. It presents original empirical insights that refine existing overborrowing literature. Novel in its methodology and focus, the study offers implications for regulatory policies and lending practices, making it an essential read.

LexicalMeaningQualityGraph

Matched: science, social

38match

Finding 34351 source

The study underscores the need for improved hallucination mitigation in LLMs for financial applications, suggesting future research to refine these techniques and enhance LLM reliability in dynamic financial settings.

LexicalMeaningQualityGraph

Matched: education

38match

Finding 80841 source

Analysis warns that mechanical rebalancing costs nearly $16$ billion annually, about $200$ per U.S. household; reliance on simulated proxies and overlooked complexities underscores urgent need for efficient trading strategy improvements.

LexicalMeaningQualityGraph

Matched: science, social

38match

Finding 80821 source

Study reveals institutional rebalancing reliably triggers shifts: overweight stocks force sales that drop equity returns by $16$ basis points and raise bond returns by $4$ basis points, costing billions annually.

LexicalMeaningQualityGraph

Matched: science, social