Description

US Dollar/Japanese Yen Forex

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

TotalReturn:

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (98.8%) in the period of the last 5 years, the total return, or increase in value of 39.4% of USD/JPY Forex is lower, thus worse.
  • During the last 3 years, the total return, or increase in value is 6.8%, which is lower, thus worse than the value of 67.1% from the benchmark.

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Which means for our asset as example:
  • Looking at the compounded annual growth rate (CAGR) of 6.9% in the last 5 years of USD/JPY Forex, we see it is relatively lower, thus worse in comparison to the benchmark SPY (14.8%)
  • Looking at annual performance (CAGR) in of 2.2% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (18.7%).

Volatility:

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Which means for our asset as example:
  • Compared with the benchmark SPY (17.5%) in the period of the last 5 years, the volatility of 9.7% of USD/JPY Forex is lower, thus better.
  • During the last 3 years, the 30 days standard deviation is 11%, which is smaller, thus better than the value of 17% from the benchmark.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (12.1%) in the period of the last 5 years, the downside volatility of 6.9% of USD/JPY Forex is lower, thus better.
  • Looking at downside risk in of 8.1% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (11.3%).

Sharpe:

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.7) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.45 of USD/JPY Forex is lower, thus worse.
  • During the last 3 years, the risk / return profile (Sharpe) is -0.03, which is smaller, thus worse than the value of 0.95 from the benchmark.

Sortino:

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (1.02) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.63 of USD/JPY Forex is lower, thus worse.
  • Compared with SPY (1.44) in the period of the last 3 years, the excess return divided by the downside deviation of -0.03 is lower, thus worse.

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Which means for our asset as example:
  • Looking at the Ulcer Index of 5.63 in the last 5 years of USD/JPY Forex, we see it is relatively lower, thus better in comparison to the benchmark SPY (8.48 )
  • Compared with SPY (4.22 ) in the period of the last 3 years, the Ulcer Index of 7.17 is larger, thus worse.

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Applying this definition to our asset in some examples:
  • The maximum reduction from previous high over 5 years of USD/JPY Forex is -14.8 days, which is greater, thus better compared to the benchmark SPY (-24.5 days) in the same period.
  • During the last 3 years, the maximum drop from peak to valley is -14.8 days, which is higher, thus better than the value of -18.8 days from the benchmark.

MaxDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Max Drawdown Duration is the worst (the maximum/longest) amount of time an investment has seen between peaks (equity highs) in days.'

Which means for our asset as example:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum days below previous high of 289 days of USD/JPY Forex is lower, thus better.
  • During the last 3 years, the maximum time in days below previous high water mark is 289 days, which is higher, thus worse than the value of 97 days from the benchmark.

AveDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Avg Drawdown Duration is the average amount of time an investment has seen between peaks (equity highs), or in other terms the average of time under water of all drawdowns. So in contrast to the Maximum duration it does not measure only one drawdown event but calculates the average of all.'

Using this definition on our asset we see for example:
  • The average days below previous high over 5 years of USD/JPY Forex is 81 days, which is smaller, thus better compared to the benchmark SPY (119 days) in the same period.
  • Looking at average time in days below previous high water mark in of 112 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (27 days).

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of USD/JPY Forex are hypothetical and do not account for slippage, fees or taxes.