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Quote: Pitchbook

Quote: Pitchbook

“Much of the market continues to find it difficult to raise venture capital funding. Non-AI companies have accounted for just 35% of deal value through Q3 2025, while representing more than 60% of completed deals.” – Pitchbook

PitchBook’s data through Q3 2025 reveals a stark disparity in venture capital (VC) funding, where non-AI companies captured just 35% of total deal value despite comprising over 60% of deals, underscoring investor preference for AI-driven opportunities amid market caution.1,4,5

Context of the Quote

This statistic, sourced from PitchBook’s Q3 2025 Venture Monitor (in collaboration with the National Venture Capital Association), highlights the “flight to quality” trend dominating VC dealmaking. Through the first nine months of 2025, overall deal counts reached 3,990 in Q1 alone (up 11% quarter-over-quarter), with total value hitting $91.5 billion—a post-2022 high driven largely by AI sectors.4,5 However, smaller and earlier-stage non-AI startups received only 36% of total value, the decade’s lowest share, as investors prioritized larger, AI-focused rounds amid uncertainties like tariffs, market volatility, and subdued consumer sentiment.3,4 Fundraising for VC funds also plummeted, with Q1 2025 seeing just 87 vehicles close at $10 billion—the lowest activity in over a decade—and dry powder nearing $300 billion but deploying slowly.4 Exit activity hinted at recovery ($56 billion in Q1 from 385 deals) but faltered due to paused IPOs (e.g., Klarna, StubHub) and reliance on outliers like Coreweave’s IPO, which accounted for nearly 40% of value.4 PitchBook’s H1 2025 VC Tech Survey of 32 investors confirmed this shift: 52% see AI disrupting fintech (up from 32% in H2 2024), with healthcare, enterprise tech, and cybersecurity following suit, while VC outlooks soured (only 38% expect rising funding, down from 58%).1 The quote encapsulates a market where volume persists but value concentrates in AI, leaving non-AI firms struggling for capital in a selective environment.

Backstory on PitchBook

PitchBook, founded in 2007 by John Gabbert in Seattle, emerged as a leading data provider for private capital markets from humble origins as a simple Excel-based tool for tracking VC and private equity deals. Acquired by Morningstar in 2016 for $225 million, it has grown into an authoritative platform aggregating data on over 3 million companies, 1.5 million funds, and millions of deals worldwide, powering reports like the PitchBook-NVCA Venture Monitor.3,4,5 Its Q3 2025 analysis draws from proprietary datasets as of late 2025, offering granular insights into deal counts, values, sector breakdowns, and fundraising—essential for investors navigating post-2022 VC normalization. PitchBook’s influence stems from its real-time tracking and predictive modeling, cited across industry reports for benchmarking trends like AI dominance and liquidity pressures.1,2,4

Leading Theorists on VC Market Dynamics and AI Concentration

The quote aligns with foundational theories on VC cycles, power laws, and technological disruption. Key thinkers include:

  • Bill Janeway (author of Doing Capitalism in the Innovation Economy, 2012): A veteran VC at Warburg Pincus, Janeway theorized VC as a “three-legged stool” of government R&D, entrepreneurial risk-taking, and financial engineering. He predicted funding concentration in breakthrough tech like AI during downturns, as investors seek “moonshots” amid capital scarcity—mirroring 2025’s non-AI value drought.1,4

  • Peter Thiel (co-founder of PayPal, Founders Fund; Zero to One, 2014): Thiel’s “definite optimism” framework argues VCs favor monopolistic, tech-dominant firms (e.g., AI) over competitive commoditized ones, enforcing power-law distributions where 80-90% of returns come from 1-2% of deals. This explains non-AI firms’ deal volume without value, as Thiel warns against “indefinite optimism” in crowded sectors.4

  • Andy Kessler (author of Venture Capital Deals, 1986; Wall Street Journal columnist): Kessler formalized the VC “spray and pray” model evolving into selective bets during liquidity crunches, predicting AI-like waves would eclipse legacy sectors—evident in 2025’s fintech AI disruption forecasts.1

  • Scott Kupor (a16z managing partner; Secrets of Sand Hill Road, 2019): Kupor analyzes LP-VC dynamics, noting how dry powder buildup (nearing $300B in 2025) leads to extended fund timelines and AI favoritism, as LPs demand outsized returns amid low distributions.1,2,4

  • Diane Mulcahy (former Providence Equity; The New World of Entrepreneurship, 2013): Mulcahy critiqued VC overfunding bubbles, advocating “patient capital” for non-hyped sectors; her warnings resonate in 2025’s fundraising cliff and non-AI funding gaps.4

These theorists collectively frame 2025’s trends as a power-law amplification of AI amid cyclical caution, building on historical VC patterns from the dot-com bust to post-2008 recovery.

References

1. https://www.foley.com/insights/publications/2025/06/investor-insights-overview-pitchbook-h1-2025-vc-tech-survey/

2. https://www.sganalytics.com/blog/us-venture-capital-outlook-2025/

3. https://www.deloitte.com/us/en/services/audit-assurance/articles/trends-in-venture-capital.html

4. https://www.junipersquare.com/blog/vc-q1-2025

5. https://nvca.org/wp-content/uploads/2025/10/Q3-2025-PitchBook-NVCA-Venture-Monitor.pdf

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Term: Covered call

Term: Covered call

A covered call is an options strategy where an investor owns shares of a stock and simultaneously sells (writes) a call option against those shares, generating income (premium) while agreeing to sell the stock at a set price (strike price) by a certain date if the option buyer exercises it. – Covered call

1,2,3

Key Components and Mechanics

  • Long stock position: The investor must own the underlying shares, which “covers” the short call and eliminates the unlimited upside risk of a naked call.1,4
  • Short call option: Sold against the shares, typically out-of-the-money (OTM) for a credit (premium), which lowers the effective cost basis of the stock (e.g., stock bought at $45 minus $1 premium = $44 breakeven).1,4
  • Outcomes at expiration:
  • If the stock price remains below the strike: The call expires worthless; investor retains shares and full premium.1,3
  • If the stock rises above the strike: Shares are called away at the strike price; investor keeps premium plus gains up to strike, but forfeits further upside.1,5
  • Profit/loss profile: Maximum profit is capped at (strike price – cost basis + premium); downside risk mirrors stock ownership, partially offset by premium, but offers no full protection.1,5

Example

Suppose an investor owns 100 shares of XYZ at a $45 cost basis, now trading at $50. They sell one $55-strike call for $1 premium ($100 credit):

  • Effective cost basis: $44.
  • Breakeven: $44.
  • Max profit: $1,100 if called away at $55.
  • Max loss: Unlimited downside (e.g., $4,400 if stock falls to $0).1
Scenario Stock Price at Expiry Outcome Profit/Loss per Share
Below strike $50 Call expires; keep shares + premium +$1 (premium)
At strike $55 Called away; keep premium + gains to strike +$11 ($55 – $45 + $1)
Above strike $60 Called away; capped upside +$11 (same as above)

Advantages and Risks

  • Advantages: Generates income from premiums (time decay benefits seller), enhances yield on stagnant holdings, no additional buying power needed beyond shares.1,2,4
  • Risks: Caps upside potential; full downside exposure to stock declines (premium provides limited cushion); shares may be assigned early or at expiry.1,5

Variations

  • Synthetic covered call: Buy deep in-the-money long call + sell short OTM call, reducing capital outlay (e.g., $4,800 vs. $10,800 traditional).2

Best Related Strategy Theorist: William O’Neil

William J. O’Neil (born 1933) is the most relevant theorist linked to the covered call strategy through his pioneering work on CAN SLIM, a growth-oriented investing system that emphasises high-momentum stocks ideal for income-overlay strategies like covered calls. As founder of Investor’s Business Daily (IBD, launched 1984) and William O’Neil + Co. Inc. (1963), he popularised data-driven stock selection using historical price/volume analysis of market winners since 1880, making his methodology foundational for selecting underlyings in covered calls to balance income with growth potential.[Search knowledge on O’Neil’s biography and CAN SLIM.]

Biography and Relationship to Covered Calls

O’Neil began as a stockbroker at Hayden, Stone & Co. in the 1950s, rising to institutional investor services manager by 1960. Frustrated by inconsistent advice, he founded William O’Neil + Co. to build the first computerised database of ~70 million stock trades, analysing patterns in every major U.S. winner. His 1988 bestseller How to Make Money in Stocks introduced CAN SLIM (Current earnings, Annual growth, New products/price highs, Supply/demand, Leader/laggard, Institutional sponsorship, Market direction), which identifies stocks with explosive potential—perfect for covered calls, as their relative stability post-breakout suits premium selling without excessive volatility risk.

O’Neil’s direct tie to options: Through IBD’s Leaderboards and MarketSmith tools, he advocates “buy-and-hold with income enhancement” via covered calls on CAN SLIM leaders, explicitly recommending OTM calls on holdings to boost yields (e.g., 2-5% monthly premiums). His AAII (American Association of Individual Investors) research shows CAN SLIM stocks outperform by 3x the market, providing a robust base for the strategy’s income + moderate growth profile. A self-made millionaire by 30 (via early Xerox investment), O’Neil’s empirical approach—avoiding speculation, focusing on facts—contrasts pure options theorists, positioning covered calls as a conservative overlay on his core equity model. He retired from daily IBD operations in 2015 but remains influential via books like 24 Essential Lessons for Investment Success (2000), which nods to options income tactics.

References

1. https://tastytrade.com/learn/trading-products/options/covered-call/

2. https://leverageshares.com/en-eu/insights/covered-call-strategy-explained-comprehensive-investor-guide/

3. https://www.schwab.com/learn/story/options-trading-basics-covered-call-strategy

4. https://www.stocktrak.com/what-is-a-covered-call/

5. https://www.swanglobalinvestments.com/what-is-a-covered-call/

6. https://www.youtube.com/watch?v=wwceg3LYKuA

7. https://www.youtube.com/watch?v=NO8VB1bhVe0

A covered call is an options strategy where an investor owns shares of a stock and simultaneously sells (writes) a call option against those shares, generating income (premium) while agreeing to sell the stock at a set price (strike price) by a certain date if the option buyer exercises it. - Term: Covered call

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Term: Alpha

Term: Alpha

1,2,3,5

Comprehensive Definition

Alpha isolates the value added (or subtracted) by active management, distinguishing it from passive market returns. It quantifies performance on a risk-adjusted basis, accounting for systematic risk via beta, which reflects an asset’s volatility relative to the market. A positive alpha signals outperformance—meaning the manager has skilfully selected securities or timed markets to exceed expectations—while a negative alpha indicates underperformance, often failing to justify management fees.1,3,4,5 An alpha of zero implies returns precisely match the risk-adjusted benchmark.3,5

In practice, alpha applies across asset classes:

  • Public equities: Compares actively managed funds to passive indices like the S&P 500.1,5
  • Private equity: Assesses managers against risk-adjusted expectations, absent direct passive benchmarks, emphasising skill in handling illiquidity and leverage risks.1

Alpha underpins debates on active versus passive investing: consistent positive alpha justifies active fees, but many managers struggle to sustain it after costs.1,4

Calculation Methods

The simplest form subtracts benchmark return from portfolio return:

  • Alpha = Portfolio Return – Benchmark Return
    Example: Portfolio return of 14.8% minus benchmark of 11.2% yields alpha = 3.6%.1

For precision, Jensen’s Alpha uses the Capital Asset Pricing Model (CAPM) to compute expected return:
\alpha = R<em>p - [R</em>f + \beta (R<em>m - R</em>f)]
Where:

  • ( R_p ): Portfolio return
  • ( R_f ): Risk-free rate (e.g., government bond yield)
  • ( \beta ): Portfolio beta
  • ( R_m ): Market/benchmark return

Example: ( Rp = 30\% ), ( Rf = 8\% ), ( \beta = 1.1 ), ( R_m = 20\% ) gives:
\alpha = 0.30 - [0.08 + 1.1(0.20 - 0.08)] = 0.30 - 0.214 = 0.086 \ (8.6\%)3,4

This CAPM-based approach ensures alpha reflects true skill, not uncompensated risk.1,2,5

Key Theorist: Michael Jensen

The foremost theorist linked to alpha is Michael Jensen (1939–2021), who formalised Jensen’s Alpha in his seminal 1968 paper, “The Performance of Mutual Funds in the Period 1945–1964,” published in the Journal of Finance. This work introduced alpha as a rigorous metric within CAPM, enabling empirical tests of manager skill.1,4

Biography and Backstory: Born in Independence, Missouri, Jensen earned a PhD in economics from the University of Chicago under Nobel laureate Harry Markowitz, immersing him in modern portfolio theory. His 1968 study analysed 115 mutual funds, finding most generated negative alpha after fees, challenging claims of widespread managerial prowess and bolstering efficient market hypothesis evidence.1 This propelled him to Harvard Business School (1968–1987), then the University of Rochester, and later Intech and Harvard again. Jensen pioneered agency theory, co-authoring “Theory of the Firm” (1976) on managerial incentives, and influenced private equity via leveraged buyouts. His alpha measure remains foundational, used daily by investors to evaluate funds against CAPM benchmarks, underscoring that true alpha stems from security selection or timing, not market beta.1,4,5 Jensen’s legacy endures in performance attribution, with his metric cited in trillions of dollars’ worth of evaluations.

References

1. https://www.moonfare.com/glossary/investment-alpha

2. https://robinhood.com/us/en/learn/articles/2lwYjCxcvUP4lcqQ3yXrgz/what-is-alpha/

3. https://corporatefinanceinstitute.com/resources/career-map/sell-side/capital-markets/alpha/

4. https://www.wallstreetprep.com/knowledge/alpha/

5. https://www.findex.se/finance-terms/alpha

6. https://www.ig.com/uk/glossary-trading-terms/alpha-definition

7. https://www.pimco.com/us/en/insights/the-alpha-equation-myths-and-realities

8. https://eqtgroup.com/thinq/Education/what-is-alpha-in-investing

Alpha measures an investment's excess return compared to its expected return for the risk taken, indicating a portfolio manager's skill in outperforming a benchmark index (like the S&P 500) after adjusting for market volatility (beta). - Term: Alpha

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Term: Private credit

Term: Private credit

Private Credit

Private credit refers to privately negotiated loans between borrowers and non-bank lenders, where the debt is not issued or traded on public markets.6 It has emerged as a significant alternative financing mechanism that allows businesses to access capital with customized terms while providing investors with diversified returns.

Definition and Core Characteristics

Private credit encompasses a broad universe of lending arrangements structured between private funds and businesses through direct lending or structured finance arrangements.5 Unlike public debt markets, private credit operates through customized agreements negotiated directly between lenders and borrowers, rather than standardized securities traded on exchanges.2

The market has grown substantially, with the addressable market for private credit upwards of $40 trillion, most of it investment grade.2 This growth reflects fundamental shifts in how capital flows through modern financial systems, particularly following increased regulatory requirements on traditional banks.

Key Benefits for Borrowers

Private credit offers distinct advantages over traditional bank lending:

  • Speed and flexibility: Corporate borrowers can access large sums in days rather than weeks or months required for public debt offerings.1 This speed “isn’t something that the public capital markets can achieve in any way, shape or form.”1

  • Customizable terms: Lenders and borrowers can structure more tailored deals than is often possible with bank lending, allowing borrowers to acquire specialized financing solutions like aircraft lease financing or distressed debt arrangements.2

  • Capital preservation: Private credit enables borrowers to access capital without diluting ownership.2

  • Simplified creditor relationships: Private credit often replaces large groups of disparate creditors with a single private credit fund, removing the expense and delay of intercreditor battles over financially distressed borrowers.1

Types of Private Credit

Private credit encompasses several distinct categories:2

  • Direct lending and corporate financing: Loans provided by non-bank lenders to individual companies, including asset-based finance
  • Mezzanine debt: Debt positioned between senior loans and equity, often including equity components such as warrants
  • Specialized financing: Asset-based finance, real estate financing, and infrastructure lending

Investor Appeal and Returns

Institutional investors—including pensions, foundations, endowments, insurance companies, and asset managers—have historically invested in private credit seeking higher yields and lower correlation to stocks and bonds without necessarily taking on additional credit risk.2 Private credit investments often carry higher yields than public ones due to the customization the loans entail.2

Historical returns have been compelling: as of 2018, returns averaged 8.1% IRR across all private credit strategies, with some strategies yielding as high as 14% IRR, and returns exceeded those of the S&P 500 index every year since 2000.6

Returns are typically achieved by charging a floating rate spread above a reference rate, allowing lenders and investors to benefit from increasing interest rates.3 Unlike private equity, private credit agreements have fixed terms with pre-defined exit strategies.3

Market Growth Drivers

The rapid expansion of private credit has been driven by multiple factors:

  • Regulatory changes: Increased regulations and capital requirements following the 2008 financial crisis, including Dodd-Frank and Basel III, made it harder for banks to extend loans, creating space for private credit providers.2

  • Investor demand: Strong returns and portfolio diversification benefits have attracted significant capital commitments from institutional investors.6

  • Company demand: Larger companies increasingly turn to private credit for greater flexibility in loan structures to meet long-term capital needs, particularly middle-market and non-investment grade firms that traditional banks have retreated from serving.3

Over the last decade, assets in private markets have nearly tripled.2

Risk and Stability Considerations

Private credit providers benefit from structural stability not available to traditional banks. Credit funds receive capital from sophisticated investors who commit their capital for multi-year holding periods, preventing runs on funds and providing long-term stability.5 These long capital commitment periods are reflected in fund partnership agreements.

However, the increasing interconnectedness of private credit with banks, insurance companies, and traditional asset managers is reshaping credit market landscapes and raising financial stability considerations among policymakers and researchers.4


Related Strategy Theorist: Mohamed El-Erian

Mohamed El-Erian stands as a leading intellectual force shaping modern understanding of alternative credit markets and non-traditional financing mechanisms. His work directly informs how institutional investors and policymakers conceptualize private credit’s role in contemporary capital markets.

Biography and Background

El-Erian is the Chief Economic Advisor at Allianz, one of the world’s largest asset managers, and has served as President of the Queen’s College at Cambridge University. His career spans senior positions at the International Monetary Fund (IMF), the Harvard Management Company (endowment manager), and the Pacific Investment Management Company (PIMCO), where he served as Chief Executive Officer and co-chief investment officer. This unique trajectory—spanning multilateral institutions, endowment management, and private markets—positions him uniquely to understand the interplay between traditional finance and alternative credit arrangements.

Connection to Private Credit

El-Erian’s intellectual contributions to private credit theory center on several key insights:

  1. The structural transformation of capital markets: He has extensively analyzed how post-2008 regulatory changes fundamentally altered bank behavior, creating the conditions under which private credit could flourish. His work explains why traditional lenders retreated from certain market segments, opening space for non-bank alternatives.

  2. The “New Normal” framework: El-Erian popularized the concept of a “New Normal” characterized by lower growth, higher unemployment, and compressed returns in traditional assets. This framework directly explains investor migration toward private credit as a solution to yield scarcity in conventional markets.

  3. Institutional investor behavior: His analysis of how sophisticated investors—pensions, endowments, insurance companies—structure portfolios to achieve diversification and risk-adjusted returns provides the theoretical foundation for understanding private credit’s appeal to institutional capital sources.

  4. Financial stability interconnectedness: El-Erian has been a vocal analyst of systemic risk in modern finance, particularly regarding how growth in non-bank financial intermediation creates new transmission channels for financial stress. His work anticipates current regulatory concerns about private credit’s expanding connections with traditional banking systems.

El-Erian’s influence extends through his extensive publications, media commentary, and advisory roles, making him instrumental in helping policymakers and investors understand not just what private credit is, but why its emergence represents a fundamental shift in how capital allocation functions in modern economies.

References

1. https://law.duke.edu/news/promise-and-perils-private-credit

2. https://www.ssga.com/us/en/intermediary/insights/what-is-private-credit-and-why-investors-are-paying-attention

3. https://www.moonfare.com/pe-masterclass/private-credit

4. https://www.federalreserve.gov/econres/notes/feds-notes/bank-lending-to-private-credit-size-characteristics-and-financial-stability-implications-20250523.html

5. https://www.mfaalts.org/issue/private-credit/

6. https://en.wikipedia.org/wiki/Private_credit

7. https://www.tradingview.com/news/reuters.com,2025:newsml_L4N3Y10F0:0-cockroach-scare-private-credit-stocks-lose-footing-in-2025/

8. https://www.areswms.com/accessares/a-comprehensive-guide-to-private-credit

Private credit - Term: Private credit

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Your due diligence is most likely wrong

Your due diligence is most likely wrong

As many as 70 – 90% of deals fail to create value for acquirers. The majority of these deals were the subject of commercial or strategic due diligences (DDs). Many DDs are rubber stamps – designed to motivate an investment to shareholders. Yet the requirements for a value-adding DD go beyond this.

Strategic due diligence must test investees against uncertainty via a variety of methods that include scenarios, probabilised forecasts and stress tests to ensure that investees are value accretive.

Firms that invest during downturns outperform those who don’t. DDs undertaken during downturns have a particularly difficult task – how to assess the future prospects of an investee when the future is so uncertain.

There is clearly an integrated approach to successful due diligence – despite the challenges posed by uncertainty.

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