Intraday move shown. Currency = local index currency.
Rebasing to $10,000 lets you compare relative growth. This is not a forecast — it's a way to see which markets led vs lagged over the period. Use region filters to reduce noise.
Green streaks show consistency in this period; mixed years show cyclicality. Use this to understand dispersion, not to pick winners.
Regional performance diverges and converges over time. Use this view to decide whether you want single-region concentration or multi-region exposure.
Deep drawdowns test discipline. Risk tolerance varies by individual. Past drawdowns illustrate historical volatility, not predictions.
This plots volatility vs total return. Some markets delivered strong returns with moderate volatility; others were volatile without rewarding returns. Use this to compare risk-adjusted outcomes, not just headline gains.
Pick an index, an amount, and a start year. See what the simulated data shows — including the worst drawdown along the way.
Simulate Past Performance
Uses simulated data (demo). Licensed history will replace this.
Liquidity is approximated using ETF trading volume and spread sensitivity. Higher liquidity typically means tighter spreads and lower implicit costs. Always check the specific ETF you're buying.
You usually access indexes via ETFs (exchange-traded funds) that track them. Here are commonly used, liquid ETF options for each index. Costs and availability vary by broker and domicile.
ETF availability varies by platform and jurisdiction. Verify access, fees, and regulatory status before trading. Serrari does not recommend specific products.
| Index | Top ETF | Ticker | Expense Ratio | AUM | Exchange |
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A stock market index is a group of companies designed to represent a market. For example, the S&P 500 tracks large US companies, while the FTSE 100 tracks major companies listed in the UK.
No. Indexes are benchmarks. Investors usually access them through ETFs or index funds that replicate the index's holdings.
An Exchange-Traded Fund (ETF) is a fund that trades on a stock exchange like a normal share. Many ETFs track indexes and offer diversified exposure at relatively low cost.
Indexes contain different companies and industries. Technology-heavy indexes may grow quickly during innovation cycles, while commodity-heavy indexes may move with energy and resource prices. Sector composition plays a major role in performance.
Most major indexes weight companies by market value. Larger companies therefore have a bigger influence on index performance.
Volatility measures how much an index's returns fluctuate. Higher volatility means larger price swings.
Maximum drawdown is the largest peak-to-trough decline during a period. It shows the worst loss an investor would have experienced before recovery.
Different markets rise and fall at different times. Diversifying across regions and sectors can reduce the risk of relying on a single market.
Risk-adjusted return compares how much return an investment generated relative to the volatility it experienced. Two investments may deliver the same return, but the one with lower volatility is usually considered more efficient.
Valuations depend on economic growth expectations, interest rates, sector composition, and investor sentiment. A market that looks "cheap" can remain cheap for long periods.
There is no universal answer. Allocation depends on factors such as time horizon, income stability, and risk tolerance.
A global index fund tracks thousands of companies across multiple countries. It provides broad diversification in a single investment product.
Index providers use slightly different calculation methods, currency conversions, and update times. Small differences between sources are normal.