Advanced Market Research for Investors

Enhancing ETF & Index Fund Decision-Making

Dr. Michael Thiemann

Problem & Stakes

Investor Decisions Need Factual Analysis

Traditional Research

Limited Scope: Often lacks depth for robust conviction.

Bias Risk: Prone to cognitive biases and herd mentality.

Missed Opportunities: Fails to identify mispriced securities.

Modern Imperatives

Factual Basis: Requires robust, evidence-based methodologies.

Risk Mitigation: Systematically identifies and manages risk.

Value Creation: Unlocks superior, uncorrelated alpha generation.

Core Concept

Quality and value are negatively correlated; combining both approaches targets affordable quality—the most profitable intersection—generating 140-240% higher returns than standalone strategies.

Achieves superior returns by identifying strong companies trading at attractive valuations. This integrated approach capitalizes on market inefficiencies more effectively.

Core Concept

Combined Research Delivers Superior Returns

17.94-21.45%

Annual hedge returns from combined strategies

vs 5.68-7.44% standalone, Mohanram 2014

90%

Portfolio return variation explained by Fama-French model

vs 70% for CAPM, Fama & French 1993-2015

96%

Institutional investors rating qualitative due diligence critical

CAIA institutional investor survey 2024

Core Framework

Integrated Due Diligence Drives Investment Decisions

Hybrid Quantitative-Qualitative Investment Due Diligence Framework

Quantitative Screening

Fama-French factors, FSCORE quality metrics, valuation ratios

Data Sources

Bloomberg Terminal, FactSet, SEC EDGAR, Kenneth French Library

Qualitative Validation

Management interviews, competitive analysis, governance assessment

Fundamental Analysis

Profitability, margins, cash flow, balance sheet strength, ROE

Integration & Scoring

Combined quality-value scoring; factor attribution analysis

Management Quality

Capital allocation track record, insider ownership, compensation alignment

Valuation Metrics

P/E, EV/EBITDA, V/P ratio, PEG, intrinsic value models

Risk Assessment

Factor exposures, concentration, liquidity, downside scenarios

Investment Decision

Portfolio allocation, position sizing, rebalancing triggers

Deep Dive - Quant

Factor Models Isolate True Performance Drivers

Fama-French Model

Explains Returns: 90% of portfolio variation explained.

Key Factors: Market, size, value, profitability, investment.

Alpha Discovery: Systematically isolates genuine alpha.

Quality Frameworks

Piotroski FSCORE: Measures financial health and quality.

Mohanram GSCORE: Assesses growth-oriented quality.

Reduces Idiosyncrasy: Focuses on fundamental strength.

Deep Dive - Qual

Qualitative Due Diligence is Non-Negotiable

Management Assessment

Integrity: Evaluate capital allocation track record.

Alignment: Analyze insider ownership and incentives.

Intangible Assets

Brand Equity: Assessing strength and market position.

Innovation: Review R&D effectiveness and pipeline.

Competitive Landscape

Moats: Identify sustainable competitive advantages.

Market Position: Understand relative strength and threats.

Governance Structure

Board Quality: Assess independence, expertise, diversity.

Shareholder Rights: Review policies protecting investor interests.

Implementation

Institutional Research Follows Structured Cycle

Universe Screening

Apply quantitative filters using factor models and valuation metrics

Fundamental Analysis

Combine quality (FSCORE/GSCORE) and value (V/P, PEG) approaches

Qualitative Validation

Assess management quality, competitive positioning, governance

Risk Attribution

Measure factor exposures and stress-test portfolio scenarios

Portfolio Construction

Allocate capital to highest-conviction opportunities with risk controls

Implementation

Next-Gen Platforms Power Investor Rigor

Data Aggregation

Bloomberg Terminal: Market data, analytics, news.

FactSet: Financial data and analytical tools.

AlphaSense: AI-powered search for insights.

Quantitative Tools

Factor Models: Fama-French for risk adjustment.

Valuation Metrics: RIV, P/E, EV/EBITDA.

Attribution Analysis: Isolates sources of return.

Evidence & Results

ETF Flow Analysis Reveals Market Sentiment

Leading Indicator

Sentiment Gauge: Reflects broad institutional positioning.

Risk On/Off: Identifies shifts in market appetite.

Crowded Trades

Sector Tracking: Monitors inflow/outflow by industry.

Strategy Flows: Reveals popular investment themes.

Next Steps

Embed Advanced Research for Alpha Generation

Review Current Process

Audit Gaps: Identify blind spots in existing research.

Benchmark Best: Compare against institutional standards.

Integrate New Frameworks

Adopt Quant Models: Implement Fama-French, FSCORE.

Formalize Qual: Structure management due diligence.

Leverage Technology

Utilize Platforms: Maximize Bloomberg, FactSet, AlphaSense.

Automate Data: Streamline data collection and analysis.

Upskill Team

Training Programs: Develop expertise in new methodologies.

Consult External: Gain specialized insights when needed.

Advance Your Investment Research Capabilities

Schedule Discovery: Book a 45-minute discussion via Calendly to assess your needs.

Deep Dive Analysis: Explore bespoke research framework integration for your portfolio.

Implement Solutions: Develop and deploy tools to enhance decision-making.