Sentence examples for fundamental metrics from inspiring English sources
While identifying bubbles is often challenging, gold is particularly tricky as it produces no cashflows and therefore has no intrinsic value.What gold lacks in fundamental metrics, however, it makes up for with a lengthy record of historical prices, which are helpful in attacking the bubble question.
By definition, it is only the mathematical outcome of two even more fundamental metrics: output sold and revenue earned.
There are three fundamental metrics which characterize the performance of a WUR, namely sensitivity, power consumption, and data rate.
Because the housing downturn is already two years old, Kim said, many important housing-specific valuation and fundamental metrics are at historical trough levelssignaling buy.
We systematically analyze and compare the results of the two design processes with respect to two fundamental metrics, namely execution time and FPGA resource usage.
The analytics offering spans a number of features, such as "fundamental metrics" measurement, segmenting conversations, tracking activities of a chatbot, retention of conversations, live take-over, broadcast messages and the ability to set up funnels.
In looking at SaaS deals over the past 10 years, we've found that a few key metrics and best practices are predictive of healthy business fundamentals.
Businesses are moving toward cloud-based operations in a permanent way, and the fundamental business metrics of the category leaders are enjoying staggering growth as a result.
Finally, in a fifth part, we establish how organisations collaborate in W3C standardisation by undertaking social network analysis involving fundamental network metrics.
In this work, fundamental design metrics of analog circuits using two-dimensional transition metal dichalcogenide (2D-TMD) molybdenum disulfide (MoS2) transistors are systematically investigated and compared with the state-of-the-art silicon MOSFETs.
Calculating the fundamental financial metrics outlined here is a critical first step to ensuring that you are making smart business decisions grounded in real data.
