Sentence examples for variability of returns from inspiring English sources

The last century demonstrates exceptional variability of returns in the year after Presidents have been reelected.

The study concluded that asset allocation played a substantial role in the variability of returns over time, not in the amount of return.

Since the 1960s, investors have known how to quantify and measure risk with the variability of returns, but no single measure actually looked at both risk and return together.

What they won the prestigious Nobel Prize for was identifying that asset allocation is attributable for 92% of the variability of returns from portfolio A to portfolio B; it was not about the returns from portfolio A to portfolio B. And, yes, that study makes an immense amount of sense and actually provides a 100% endorsement of active tactical asset allocation.

They forecast average returns for each asset class (large-cap stocks, small caps, foreign bonds, etc).; specify the variability of returns for each class; and plug in the degree of correlation between different pairs of asset classes (e.g. large-cap stocks behave more like small caps than like foreign bonds).

They allow us to visualize the strong variability of return periods within a storm.

One important issue already raised at this occasion was the variability of those returns for high school and college graduates, even for individuals with similar IQ and grades.

Despite a greater emphasis on precious metals in the literature, more recently, there is a paucity of full-scale research examining the variability of the returns on investments in precious metals.

Our research, along with academic research, shows that 90% of the variability of the returns of any individual’s portfolio is explained by asset allocation, so it is much more important over the long term to identify the right asset classes than it is to pick the best stocks or mutual funds.

The position in time of the gray dotted line within the gap between Kathmandu and Pokhara is model dependent, plotted visually seven centuries after 1344 and 1408 AD, and is consistent with time clustering of earthquakes rather than the full variability of trench-derived return times (850 ± 370 years (Bollinger et al., 2014)).

Variability of these passive return movements was low.