Markets Enter "Extreme Fear" Territory
Stock market fear gauges are spiking amid heightened volatility, with Kalshi reporting the stock market entering "extreme fear" territory. JPMorgan predicts a potential 10% drop in the S&P 500. Robert Kiyosaki reiterated his 2026 crash prediction, advising investments in gold, silver, Bitcoin, and oil.
The CBOE Volatility Index (VIX), often called the "fear gauge," measures market expectations of volatility over the next 30 days, derived from S&P 500 options. The VIX, calculated and disseminated by the Chicago Board Options Exchange (CBOE), reflects the market's anticipation of near-term volatility conveyed by stock index option prices. In 1993, the CBOE introduced the original VIX, and in 2003, updated its methodology in collaboration with Goldman Sachs, shifting the underlying index from the S&P 100 to the S&P 500. JPMorgan Chase, with $4.8 trillion in assets under management, has warned of a potential 10% drop in the S&P 500, citing concerns over inflation, interest rate policies, and global economic uncertainty. Market corrections, defined as a 10% drawdown, are relatively common, with the S&P 500 experiencing a correction in most years since the early 1980s. Historically, the stock market has recovered relatively quickly from corrections, with an average recovery time of three months following a 5%-10% downturn and eight months following a 10%-20% correction. Robert Kiyosaki, author of "Rich Dad Poor Dad," has reiterated his prediction of a major stock market crash, initially made in his 2013 book "Rich Dad's Prophecy". Kiyosaki suggests investors acquire tangible assets like gold, silver, and Bitcoin. He specifically advises investing in silver, even in small amounts, to learn about money and build wealth, and has predicted Bitcoin could reach $250,000 in 2026. Kalshi, a prediction market platform, has shown accuracy comparable to professional forecasters, according to a Federal Reserve study. A study comparing Kalshi's market-implied forecasts to traditional methods found that Kalshi effectively approximated expectations based on macroeconomic analysis, financial news, and policy signals. However, another study found that Kalshi's accuracy rate was 78%, while PredictIt scored 93% accuracy.