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 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (62.7%) in the period of the last 5 years, the total return, or performance of 45.6% of PACCAR is lower, thus worse.
  • During the last 3 years, the total return is 46.3%, which is higher, thus better than the value of 34.7% 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.'

Applying this definition to our asset in some examples:
  • The annual return (CAGR) over 5 years of PACCAR is 7.8%, which is lower, thus worse compared to the benchmark SPY (10.2%) in the same period.
  • During the last 3 years, the compounded annual growth rate (CAGR) is 13.5%, which is larger, thus better than the value of 10.5% from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the historical 30 days volatility of 27.4% in the last 5 years of PACCAR, we see it is relatively higher, thus worse in comparison to the benchmark SPY (20.9%)
  • Looking at 30 days standard deviation in of 29.3% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (24.1%).

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.'

Applying this definition to our asset in some examples:
  • The downside deviation over 5 years of PACCAR is 18.7%, which is higher, thus worse compared to the benchmark SPY (15.3%) in the same period.
  • Looking at downside deviation in of 19.1% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (17.6%).

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Using this definition on our asset we see for example:
  • Looking at the risk / return profile (Sharpe) of 0.19 in the last 5 years of PACCAR, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.37)
  • Compared with SPY (0.33) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.38 is greater, 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:
  • Looking at the ratio of annual return and downside deviation of 0.28 in the last 5 years of PACCAR, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.51)
  • Looking at excess return divided by the downside deviation in of 0.58 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (0.45).

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:
  • Looking at the Ulcer Index of 12 in the last 5 years of PACCAR, we see it is relatively greater, thus worse in comparison to the benchmark SPY (7.71 )
  • Compared with SPY (9.08 ) in the period of the last 3 years, the Ulcer Ratio of 10 is larger, thus worse.

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 -37.9 days of PACCAR is smaller, thus worse.
  • Looking at maximum reduction from previous high in of -37.9 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-33.7 days).

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'

Which means for our asset as example:
  • Compared with the benchmark SPY (189 days) in the period of the last 5 years, the maximum days below previous high of 435 days of PACCAR is greater, thus worse.
  • Looking at maximum time in days below previous high water mark in of 415 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (189 days).

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.'

Which means for our asset as example:
  • Looking at the average days below previous high of 162 days in the last 5 years of PACCAR, we see it is relatively larger, thus worse in comparison to the benchmark SPY (46 days)
  • Looking at average days below previous high in of 140 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (45 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 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.