Description

PACCAR Inc designs, manufactures, and distributes light, medium, and heavy-duty commercial trucks in the United States, Europe, and internationally. The company operates in three segments: Truck, Parts, and Financial Services. The Truck segment designs, manufactures, and distributes trucks that are used for the over-the-road and off-highway hauling of commercial and consumer goods. It sells its trucks through a network of independent dealers under the Kenworth, Peterbilt, and DAF nameplates. The Parts segment distributes aftermarket parts for trucks and related commercial vehicles. The Financial Services segment conducts full service leasing operations under the PacLease trade name. It also provides equipment financing and administrative support services for its franchisees; retail loan and leasing services for small, medium, and large commercial trucking companies, as well as independent owner/operators and other businesses; and truck inventory financing services to independent dealers. In addition, this segment offers loans and leases directly to customers for the acquisition of trucks and related equipment. The company also manufactures and markets industrial winches under the Braden, Carco, and Gearmatic nameplates. PACCAR Inc was founded in 1905 and is headquartered in Bellevue, Washington.

Statistics (YTD)

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TotalReturn:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Applying this definition to our asset in some examples:
  • The total return over 5 years of PACCAR is 93.7%, which is lower, thus worse compared to the benchmark SPY (115.8%) in the same period.
  • During the last 3 years, the total return is 63.3%, which is higher, thus better than the value of 57% 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.'

Using this definition on our asset we see for example:
  • Looking at the annual return (CAGR) of 14.2% in the last 5 years of PACCAR, we see it is relatively lower, thus worse in comparison to the benchmark SPY (16.7%)
  • Looking at annual return (CAGR) in of 17.8% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (16.3%).

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.'

Which means for our asset as example:
  • Looking at the historical 30 days volatility of 26.8% in the last 5 years of PACCAR, we see it is relatively larger, thus worse in comparison to the benchmark SPY (18.8%)
  • Looking at historical 30 days volatility in of 28.8% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (22.5%).

DownVol:

'Risk measures typically quantify the downside risk, whereas the standard deviation (an example of a deviation risk measure) measures both the upside and downside risk. Specifically, downside risk in our definition is the semi-deviation, that is the standard deviation of all negative returns.'

Using this definition on our asset we see for example:
  • Looking at the downside risk of 18.1% in the last 5 years of PACCAR, we see it is relatively larger, thus worse in comparison to the benchmark SPY (13.7%)
  • Compared with SPY (16.4%) in the period of the last 3 years, the downside deviation of 18.8% is larger, thus worse.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.75) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.44 of PACCAR is smaller, thus worse.
  • Looking at risk / return profile (Sharpe) in of 0.53 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.61).

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 (1.04) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.64 of PACCAR is smaller, thus worse.
  • Looking at excess return divided by the downside deviation in of 0.81 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.84).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (5.58 ) in the period of the last 5 years, the Ulcer Index of 11 of PACCAR is larger, thus worse.
  • Looking at Downside risk index in of 8.98 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (6.83 ).

MaxDD:

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum reduction from previous high of -37.8 days of PACCAR is lower, thus worse.
  • During the last 3 years, the maximum DrawDown is -37.8 days, which is lower, thus worse than the value of -33.7 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). 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:
  • Compared with the benchmark SPY (139 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 435 days of PACCAR is greater, thus worse.
  • Compared with SPY (139 days) in the period of the last 3 years, the maximum days below previous high of 150 days is higher, thus worse.

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:
  • Compared with the benchmark SPY (33 days) in the period of the last 5 years, the average days under water of 107 days of PACCAR is larger, thus worse.
  • Looking at average time in days below previous high water mark in of 37 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (35 days).

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of PACCAR are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.