Description

Altaba Inc. operates as a non-diversified, closed-end management investment company in the United States. Its assets consist primarily of equity investments, short-term debt investments, and cash. The company was formerly known as Yahoo! Inc. and changed its name to Altaba Inc. in June 2017. Altaba Inc. was founded in 1994 and is based in New York, New York.

Statistics (YTD)

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

TotalReturn:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (109.8%) in the period of the last 5 years, the total return, or increase in value of 49.1% of Altaba is smaller, thus worse.
  • During the last 3 years, the total return is 77.4%, which is higher, thus better than the value of 42.5% from the benchmark.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (16%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 8.5% of Altaba is lower, thus worse.
  • Looking at annual return (CAGR) in of 21.7% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (12.6%).

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (17.9%) in the period of the last 5 years, the volatility of 27.7% of Altaba is higher, thus worse.
  • During the last 3 years, the historical 30 days volatility is 25.8%, which is higher, thus worse than the value of 18.4% from the benchmark.

DownVol:

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

Which means for our asset as example:
  • Looking at the downside deviation of 19.3% in the last 5 years of Altaba, we see it is relatively greater, thus worse in comparison to the benchmark SPY (12.5%)
  • Compared with SPY (12.6%) in the period of the last 3 years, the downside risk of 17.5% is greater, thus worse.

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.'

Using this definition on our asset we see for example:
  • The Sharpe Ratio over 5 years of Altaba is 0.22, which is lower, thus worse compared to the benchmark SPY (0.75) in the same period.
  • Compared with SPY (0.55) in the period of the last 3 years, the ratio of return and volatility (Sharpe) of 0.74 is larger, thus better.

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (1.08) in the period of the last 5 years, the excess return divided by the downside deviation of 0.31 of Altaba is smaller, thus worse.
  • During the last 3 years, the ratio of annual return and downside deviation is 1.1, which is higher, thus better than the value of 0.8 from the benchmark.

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (8.48 ) in the period of the last 5 years, the Downside risk index of 21 of Altaba is larger, thus worse.
  • During the last 3 years, the Ulcer Index is 12 , which is higher, thus worse than the value of 5.54 from the benchmark.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Which means for our asset as example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -48.9 days of Altaba is lower, thus worse.
  • Compared with SPY (-18.8 days) in the period of the last 3 years, the maximum DrawDown of -32.6 days is lower, thus worse.

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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Using this definition on our asset we see for example:
  • The maximum time in days below previous high water mark over 5 years of Altaba is 642 days, which is greater, thus worse compared to the benchmark SPY (488 days) in the same period.
  • During the last 3 years, the maximum days under water is 331 days, which is larger, thus worse than the value of 199 days from the benchmark.

AveDuration:

'The Average Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. 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:
  • Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average time in days below previous high water mark of 224 days of Altaba is higher, thus worse.
  • Compared with SPY (44 days) in the period of the last 3 years, the average time in days below previous high water mark of 92 days is greater, thus worse.

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 Altaba are hypothetical and do not account for slippage, fees or taxes.