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

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Results for “Investments and mid to low frequency equity and ETF trading strategies”

30 findings

67match

Finding 75781 source

The Structural Convexity Index (SCI) is a new, always-on long/short strategy that aims to deliver 'crisis alpha'strong protection and positive returnsduring major stock market downturns, without relying on market timing.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

67match

Finding 20171 source

A simple investment strategy using peer signals earns a robust 0.67% monthly return ($0.67%$), with gains persisting. The studys methodology is rigorous, but gradual price adjustment and real-world trading limits warrant further exploration.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

66match

Finding 75791 source

SCI permanently holds spreads between durable and fragile assets across gold, energy, and credit sectors, rebalancing monthly. In backtests (2007--2025), it achieved a 7.8% annual return and outperformed during every major equity drawdown.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

66match

Finding 75811 source

This paper presents the Structural Convexity Index (SCI), an innovative, always-on long/short strategy leveraging durable-minus-fragile spreads across gold, energy, and credit. Its regime-independent convexity, behavioral moat concept, and persistent crisis alpha capture distinguish it from traditional timing-based defenses, offering a compelling, original approach for equity and ETF drawdown protection.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

65match

Finding 75801 source

Notably, SCI posted a +24.2% gain during the 2022 inflation crisis when both stocks and bonds fell, but it captures only 18% of S&P 500 upside in bull markets, potentially deterring short-term-focused investors.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

62match

Finding 21941 source

Surprisingly, the study finds that only a handful of dayssuch as earnings announcements, market-wide jumps, or unusually large returnshold most predictive power for future stock performance, challenging conventional wisdom about momentum signals.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investments, low, mid, stock, strategies, strategy, trading

62match

Finding 21931 source

A new Characteristic-Managed Momentum (CMM) strategy uses machine learning to flexibly weight past stock returns, dramatically outperforming traditional momentum investing, especially during market crises and recent decades of poor momentum performance.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investments, low, mid, stock, strategies, strategy, trading

61match

Finding 21951 source

CMMs success is mainly driven by investors underreaction to important news, not risk factors. Despite relying on complex neural networks, the approach remains highly profitable after transaction costs, though transparency may limit practical adoption.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investments, low, mid, stock, strategies, strategy, trading

61match

Finding 85661 source

Social feedback, such as receiving 'likes,' drives strategy changes more than actual investment performance, revealing that only fundamental analysis-linked order flows are truly informative for market efficiency, highlighting both wisdom and whims in retail trading.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

61match

Finding 21961 source

This paper introduces a novel machine learning-based 'characteristic-managed momentum' (CMM) strategy, which flexibly weights past returns to outperform traditional momentum. Its originality lies in data-driven, conditional weighting, revealing that only select daysoften with large returns or newsmatter most. Robust empirical results offer compelling insights for both academic research and trading applications.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investments, low, mid, stock, strategies, strategy, trading

61match

Finding 20151 source

Active mutual fund managers create a network of co-held stocks, enabling predictions of future returns. This 'co-holding network' is based on U.S. equity data from 1990 to 2024, revealing surprising market insights.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investments, low, mid, stock, strategies, strategy, trading

60match

Finding 37001 source

Researchers reveal that equity strategies with low 'OIS betas'meaning high exposure to unexpected ECB policy movesconsistently earn higher excess returns and Sharpe ratios, especially during the ECB press release window.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

60match

Finding 85641 source

Retail investors on StockTwits rapidly shift trading strategies, influenced by news, past performance, and social feedback, with AI tools like GPT-4 Turbo and BERT analyzing 100 million messages to track these changes.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

60match

Finding 66321 source

Zakamulin and Giner introduce three vital qualities for trend-following trading rulesaccuracy, responsiveness, and smoothnessoffering clear, objective measures based on how a rule weights past returns, revolutionizing strategy evaluation.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investments, low, mid, strategies, strategy, trading

60match

Finding 55991 source

This paper innovatively extends mid- to low-frequency ETF strategies via dynamic allocation to leveraged ETFs, integrating intuitive explanations, Omega ratio insights ($\Omega$), synthetic long-term datasets, and neural networks. Its originality stems from combining $\Omega$-based metrics with machine learning, offering practitioners a novel and practical evolution of dynamic LETF allocation frameworks.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

60match

Finding 85651 source

Surprisingly, positive posts about fundamental analysis predict higher future stock returns, while bullish technical analysis posts signal lower returns, especially among Robinhood users known for herding behavior and less informative trades.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

60match

Finding 20161 source

Stocks held by similar funds, termed 'holdings-based peers,' can forecast next month's returns, especially when closely related. This predictive power is unexplained by traditional factors like industry, analyst coverage, or common ownership.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investments, low, mid, stock, strategies, strategy, trading

60match

Finding 20181 source

This paper introduces a novel method for defining equity peer groups using active mutual fund co-holdings, diverging from traditional researcher-specified approaches. Its originality lies in leveraging buy-side networks to predict next-month stock returns, offering fresh insights into information diffusion. Robust empirical results highlight significant implications for portfolio management and alpha generation.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investments, low, mid, stock, strategies, strategy, trading

60match

Finding 85671 source

This paper uniquely applies a two-stage LLM approachGPT-4 Turbo and BERTto classify retail investor strategies from vast social media data, extracting nuanced financial concepts. Its scale, integration, and real-time behavioral finance analysis are novel, offering compelling insights into dynamic strategy adoption, sentiment, and order flow informativeness.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

60match

Finding 37021 source

Notably, the risk premium is driven by immediate policy announcements, not press conferences or speeches, and the research uniquely focuses on systematic factor portfolios, leaving open questions about country effects and unconventional policies.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

60match

Finding 37011 source

The study finds a 'tent-shaped' risk-return pattern, with the strongest effects for monetary shocks impacting short- to medium-term rates (6 months to 2 years), and introduces 'ECB betas' for equity factors using advanced asset pricing methods.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

60match

Finding 78731 source

Surprisingly, retail trading and news events play minor roles, while trading frictions like illiquidity and short-selling costs dont fully explain the puzzle; algorithmic tradings impact remains an open question for future research.

LexicalMeaningQualityGraph

Matched: algorithmic, equity, etf, frequency, investments, low, mid, stock, strategies, trading

59match

Finding 21711 source

Modern financial markets are increasingly volatile and unpredictable, not due to new economic news, but because of feedback loops between trading algorithms and information systems, a phenomenon termed 'Algorithmic Exuberance.'.

LexicalMeaningQualityGraph

Matched: algorithmic, equity, etf, frequency, investments, low, mid, strategies, trading

59match

Finding 49401 source

The framework combines multiple investment views using risk parity and minimum-variance weighting, translating them into actionable ETF portfolios by minimizing tracking error, even allowing complex long-short views within long-only constraints.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, strategies, trading

59match

Finding 21721 source

The study introduces the Reflexivity Index, a novel metric quantifying how much market volatility stems from algorithmic feedback rather than real-world events, using innovative statistical methods to separate reflexive from fundamental-driven changes.

LexicalMeaningQualityGraph

Matched: algorithmic, equity, etf, frequency, investments, low, mid, strategies, trading

59match

Finding 37031 source

This paper uniquely links ECB monetary policy shocks, measured via high-frequency OIS surprises, to systematic equity factor returns across 153 long-short portfolios. Its innovative use of granular euro-area data and focus on factors, not indices, offers fresh insights, revealing tent-shaped risk premia and press release window effects, advancing asset pricing research.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, strategy, trading

59match

Finding 49411 source

Real-world case studies show the approach is flexible, scalable, and cost-effective, but its reliance on historical covariance and ETF exposure accuracy may falter in volatile or illiquid markets, highlighting a key limitation.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, strategies, trading

58match

Finding 69991 source

This paper introduces Analyst/Investor Days as a novel trading signal, uniquely combining event transcript sentiment analysis and deep reinforcement learning for long-short equity and ETF strategies. Its originality lies in pre-event hype analysis and AI-driven optimization, offering fresh insights and practical advancements for quantitative finance, trading signal extraction, and machine learning applications.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investments, low, mid, stock, strategies, strategy, trading

58match

Finding 49391 source

A new methodology enables long-only investors, such as family offices, to systematically implement ETF strategies, efficiently expressing views on risk premia, style factors, and sector trendswithout requiring explicit return forecasts.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, strategies, trading

58match

Finding 39771 source

Horizon measures share-weighted quarters active institutions hold a stock; it prices in Fama-MacBeth ($t>5$), delivers $50$ bps/month (~$6%$ annually), alphas $12\text{--}32$ bps/month, loads on value, profitability, investment; against size, momentum.

LexicalMeaningQualityGraph

Matched: equity, etf, frequency, investment, investments, low, mid, stock, strategies, trading