# Сопутствующие статьи по теме Value Investing

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Value Investing", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

The "Big Short" Prototype Makes a Major Bet: Shorting Nvidia, Going Long on Software Stocks 'Scared Away' by AI

'The Big Short' Legend Michael Burry Doubles Down on AI Bet: Shorts Nvidia, Buys Beaten-Down Software Stocks As the Nasdaq hits record highs and Nvidia's market cap nears $5.3 trillion, Michael Burry—famed for his 2008 subprime mortgage bet—is making a major contrarian move. He is significantly expanding his bearish wagers against the AI frenzy while buying traditional software stocks he believes have been unfairly punished. Burry's latest portfolio adjustments, revealed in his Substack column, include maintaining and increasing put options on Nvidia and Palantir. He has also initiated new short positions on Palantir and expanded bearish bets on the semiconductor ETF (SOXX), the Nasdaq 100 ETF (QQQ), and Oracle. Simultaneously, he is buying shares of software companies like Adobe, Autodesk, Salesforce, and Veeva Systems. He argues these stocks have been sold off due to "AI disruption" fears and technical selling pressure from private credit funds, not deteriorating fundamentals. Their valuations have fallen to multi-year lows. This creates a complete hedge: short the perceived "AI winners" and long the oversold "AI losers." Burry believes the current AI infrastructure spending boom mirrors the late-1990s internet bubble, with inflated demand projections and questionable accounting practices by large cloud customers extending GPU depreciation schedules. While his Palantir short is currently profitable, his Nvidia put options are deeply underwater as the stock trades near all-time highs. Burry remains steadfast, comparing Nvidia to Cisco during the dot-com era. He anticipates a broad repricing of the AI bubble, where overvalued beneficiaries fall and unfairly battered companies rebound.

marsbit05/10 03:06

The "Big Short" Prototype Makes a Major Bet: Shorting Nvidia, Going Long on Software Stocks 'Scared Away' by AI

marsbit05/10 03:06

Distinguishing Types of Drawdowns Is More Important Than Blindly Buying the Dip

Distinguishing between types of drawdowns is more important than blindly buying the dip. Academic finance categorizes risk into systemic (market-wide, unavoidable) and idiosyncratic (company-specific). Similarly, drawdowns can be market-driven (systemic, like the 2008 crisis) or company-specific (idiosyncratic, like the recent AI-driven selloff in software stocks). Using FactSet (FDS) as an example, the article illustrates that a systemic drawdown, such as in 2008/09, was a test of the market's durability, not FactSet's economic moat. In these cases, investors can leverage a behavioral advantage—patience and a long-term view—as history shows markets tend to recover. Conversely, the current 2025/26 drawdown in software stocks is largely idiosyncratic, driven by specific fears that AI could disrupt industry pricing power and erode moats. To capitalize on such a drawdown, an investor needs an analytical advantage: a more accurate vision of the company's future a decade from now than the market's pessimistic price implies. This requires understanding why informed sellers are wrong, a fine line between conviction and arrogance. The key takeaway is not to apply a blunt behavioral solution (like simply buying the dip) to a problem that requires nuanced, fundamental analysis.

marsbit02/15 10:18

Distinguishing Types of Drawdowns Is More Important Than Blindly Buying the Dip

marsbit02/15 10:18

Before Buying the Dip, Understand the Two Types of Market Drawdowns

The article distinguishes between two types of stock drawdowns: systemic (market-driven) and idiosyncratic (company-specific). Systemic drawdowns, like the 2008 financial crisis, affect the entire market and can be navigated with behavioral advantages such as patience, as markets tend to recover. Idiosyncratic drawdowns, such as the recent AI-driven sell-off in software stocks, require analytical advantages—investors must accurately assess whether a company’s long-term prospects remain intact despite market pessimism. Using FactSet as an example, the author emphasizes that investors must differentiate between temporary panic and fundamental erosion of a company’s competitive moat. Relying solely on behavioral strategies for idiosyncratic risks is inadequate; deep analysis is essential to avoid mistaking arrogance for conviction.

比推02/13 12:59

Before Buying the Dip, Understand the Two Types of Market Drawdowns

比推02/13 12:59

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