Psychology of market cycles

The price of a stock is driven by many factors such as fundamentals, valuations, liquidity, news and technicals. But beneath all of these lies a more powerful force: human behavior. Individual emotions compound at the market level, creating waves of optimism, fear, and overreaction that can significantly distort price discovery.

Behavioral finance is not merely a theoretical framework that can be mastered through study. Many of its effects operate subconsciously, shaping how we interpret information, assign probabilities, and assess risk without our awareness. 

Consider availability bias. Events that are recent, dramatic, or widely discussed tend to dominate our perception of reality. After a sharp rally, optimism feels justified. After a correction, risk feels amplified. What is most visible in the moment often feels most probable, even if long-term fundamentals have not materially changed.

Anchoring quietly reinforces this tendency. We attach ourselves to reference points such as a previous high, a recent low, or even our own purchase price. These anchors become mental benchmarks against which all future decisions are measured. When prices move away from them, our judgment is influenced more by the reference point than by intrinsic value.

Many behavioral distortions do not feel like biases. They feel like reasoning. We interpret new information through our existing mental models, often without recognizing that those models themselves may be flawed. That is precisely what makes them powerful.

These are only a few examples. Numerous other cognitive distortions, from confirmation bias to hindsight bias and mental accounting, subtly pull us away from rational, evidence-based decision making.

The following chart illustrates how investor psychology evolves across a market cycle from optimism to euphoria to panic and how behavioral biases distort decision-making at each stage.

Figure 1

History offers a clear lens into this dynamic. Across centuries, markets have drifted far from fundamental value as cycles of greed, leverage, and fear resurface under different narratives.

Silver  bubbles

Figure 2

Recently precious metals like gold and silver have been in the spotlight for their increased volatility. 

While this is uncommon for gold, Silver’s history is a story of extreme cycles. In 1979–80, the Hunt brothers’ aggressive buying sparked a frenzy that lifted silver by 350 percent, drawing in speculators before margin calls flipped euphoria into panic. The 2008–11 rally saw prices surge by around 450 percent on stimulus and safe-haven demand, while in 2020, massive monetary easing, fiscal stimulus, and currency debasement fears drove silver by 142 percent from March to August.

The latest move followed the same script, a powerful run from INR 1,00,000/kg in early 2025 to above INR 4,20,000/kg in early 2026 on anticipation of industrial demand (solar/EV), Chinese export restrictions and speculative momentum, followed by a sharp 31% crash as leverage unwound. Different triggers, same psychology: optimism fuels the climb, fear accelerates the fall.

Tulip mania

As we have already covered in another blog, Tulip Mania began in the early 1600s when rare and exotic tulip varieties were introduced to the Netherlands, becoming luxury status symbols among the wealthy. Limited supply and rising popularity pushed prices higher, drawing in traders who began speculating on future contracts rather than the bulbs themselves. As prices surged, more people joined purely to profit from quick resales. When confidence faded and buyers stopped showing up, prices collapsed sharply,  leaving many with heavy losses.

Dot com bubble

The Dot-Com Bubble was the late-1990s surge in internet stocks, where companies with little revenue saw valuations skyrocket on big promises about the digital future. The Nasdaq Composite rose nearly 400% between 1995 and its March 2000 peak, as investors, fueled by overconfidence, poured money into anything tied to the internet based on speculation. But when profits failed to appear and growth slowed, sentiment shifted sharply. From its peak to 2002, the Nasdaq fell almost 78%, wiping out trillions of dollars in market value and marking one of the sharpest crashes in modern market history.

Japan’s lost decades

Japan’s 1980s asset price bubble was one of the biggest booms in financial history. Easy credit and rising optimism pushed stock and real estate prices to extreme levels. At the peak in 1989, the Nikkei 225 touched nearly 39,000, and land in Tokyo was valued at staggering prices. The belief that prices would keep rising fed the frenzy. When policy tightened and sentiment turned, both stocks and property collapsed, triggering decades of slow growth and what later came to be known as Japan’s “Lost Decades.”

Impact

Behavioral biases can erode returns not only at the individual level, but across entire markets. For individual investors, the impact can range from losing a small percentage of alpha to significant wealth erosion over time. An equation sums it up elegantly.

Investor Return = Investment Return – behavior Gap

That “behavior gap” represents the returns lost to emotional decision-making.

To put this in perspective, consider this fascinating statistic: Missing just the 20 best trading days in Nifty 50 over a period of 10 years can turn a potential 2.82x of our investment into negative returns.

Figure 3

Source: Nifty 50 index (Jan 2015 - Dec 2024)

Solution

Human behavior is complex. What feels logical in the moment is not always objective. There is no definitive solution to behavioral biases, but their influence can be managed through deliberate systems and safeguards.

1. Awareness: The first and most powerful step. Recognising how our own emotions and biases shape decisions allow us to consciously counteract them.

2. Signal vs Noise: Markets generate constant information, but not all information warrants action. Distinguishing durable insight from temporary chatter improves decision quality.

3. Consult and Collaborate: Discuss our approach with peers who have diverse viewpoints to challenge our assumptions with an unbiased mind.

4. Set a Process: Establish a clear, rule-based framework as part of our investment process to keep behavioral gaps in check and remain consistent and objective, especially in volatile markets.

5. Review Regularly: Reflect on past decisions to identify recurring biases and put guardrails in place for future decisions.

behavioral biases are an inseparable part of investing. They can either work against us or, if recognised early, work in our favour. By cultivating awareness, discipline, and structure, we can not only protect our portfolio from emotional pitfalls but also capitalise on opportunities that others overlook.

References:

• Fernando, J. (2022, June 17). Silver Thursday: What it means, how it works. Investopedia. https://www.investopedia.com/terms/s/silver_thursday.asp

• Hayes, A. (2025, August 10). Dotcom bubble: Causes, impact, and lessons. Investopedia. https://www.investopedia.com/terms/d/dotcom-bubble.asp

• Macrotrends. (n.d.). Silver prices – 100 year historical chart. Macrotrends. https://www.macrotrends.net/1470/historical-silver-prices-100-year-chart

• Gainesville Coins. (2025, June 6). Silver price history: 100-year complete analysis. Gainesville Coins. https://www.gainesvillecoins.com/blog/silver-price-history

• Visual Capitalist. (2026, February 4). Charted: Silver price rallies over time (1965–2026). Visual Capitalist.        https://www.visualcapitalist.com/charted-silver-price-rallies-over-time-1965-2026/

• Bullion Exchanges. (2026, February 5). What’s next for silver after its $100 breakout & historic price shock? Bullion Exchanges. https://bullionexchanges.com/blog/whats-next-for-silver-after-its-100-breakout-historic-price-shock

• Bhadoria, S. (2026, January 20). Is it too late to invest in silver as prices surge 231% in one year? Experts decode. GoodReturns. https://www.goodreturns.in/news/is-it-too-late-to-invest-in-silver-rate-in-india-prices-surge-231-in-one-year-experts-decode-1483017.html

• Goel, S. (2026, February 16). MCX silver prices need to jump 75% to reclaim all-time high of ₹4,20,000: Is it likely this year? Mint. https://www.livemint.com/market/commodities/mcx-silver-rate-needs-to-jump-75-to-reclaim-all-time-high-of-rs-4-20-000-is-it-likely-this-year-11771233717915.html

Disclaimer-This article is for educational and informational purposes only and should not be considered as investment advice or a recommendation to buy or sell any securities or adopt any investment strategy.