SPDR S&P 500 ETF Trust
Most people who are interested in investing in the stock markets do so on cash basis. This means that for every $1,000 they deposit into their brokerage account, they get to buy $1,000 worth of shares. This is in strong contrast to how forex traders operate. Forex traders usually trade on leverage.
Leverage is just a fancy term for borrowing money from the broker and then using the borrowed money to trade. It's trading on credit, by depositing some money into an account and then using the deposit to borrow more money. The amount of money that traders borrow depends on the market that they want to trade, the amount of money the broker is willing to lend and how much risk the trader is willing to take.
Popular Forex brokers offer many tiers of leverage, from 1:10 to 1:100. Meaning that for every $1 a trader deposits, the broker is willing to lend $10 or $100 respectively.
Trading on leverage is often cautioned against because it amplifies both losses and profits.
Trading with leverage is less popular in equities, and stock brokers offer far less leverage than is available to forex traders. Popular amounts of leverage range from 1:2 to 1:4. Trading on 1:4 leverage in equity means that a 5% rise in prices is a 20% gain in equity value of the account. Conversely, a 10% drop in prices correlates to a 40% loss in the trader's deposit.
With the numbers out of the way, let's investigate what returns and drawdowns we can expect when using 1:2 leverage and 1:4 leverage for purchasing ETFs.
Initial investment: $10,000
Investment period: 15 years
val initialInvestment: Double = 10_000.0
val years: Long = 15
val startDate = LocalDateTime.now().minusYears(years)
val leverage: Double = 1.0
val data = loader.download(etf).dropWhile { it.datetime.isBefore(startDate) }
val closePrices = data.map { it.close }
val equity = closePrices.asReturns().equityCurve(initialInvestment, leverage = leverage)
val drawdown = equity.drawdown()
chart("Buy and hold - ${etf.tickerName} - Leverage: ${leverage}") {
panel() {
xylinechart { equity.toXYSeries("Equity") }
}
panel(height = 200) {
xylinechart { drawdown.toXYSeries("Drawdown") }
}
}
Let's observe the outcome of investing with and without leverage in SPY, QQQ and VTI.
ETF | Leverage | Return | Maximum Drawdown | Longest drawdown period (trading days) |
---|---|---|---|---|
SPY | 1:1 | 300% | 56.4% | 1366 |
SPY | 1:2 | 487% | 84.5% | 1612 |
SPY | 1:4 | 187% | 99% | 3130 |
- | ||||
QQQ | 1:1 | 761% | 53.5% | 799 |
QQQ | 1:2 | 2812% | 82% | 1097 |
QQQ | 1:4 | 4068% | 98.5% | 1710 |
- | ||||
VTI | 1:1 | 319% | 56.6% | 1338 |
VTI | 1:2 | 543% | 84.6% | 1538 |
VTI | 1:4 | 222% | 98.9% | 3117 |
Drawdowns for leveraged long-term positions are extreme. Losing 80% of portfolio value or more during a drawdown is not to be taken lightly and few people have the stomach to stand by and watch such severe changes in their portfolio value. Additionally, the largest drawdowns take years to recover from.
In my mind there is no doubt that leverage lives up to its dangerous reputation and that it should be approached cautiously.
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Risk Disclosure:
Trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones' financial security or lifestyle. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.
Hypothetical Performance Disclosure:
Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.
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