by Peter H. Diamandis and Steven Kotler · 13 Apr 2026 · 225pp · 76,418 words
opposite, overwhelming users with information and distraction and pulling them out of the zone. The Strava app is an example. Early fitness trackers provided post-performance metrics. You could see how you did only after the run or ride was over. This wasn’t bad for tracking progress, but it didn’t
by Sebastian Mallaby; · 30 Mar 2026 · 607pp · 161,998 words
. To end that dynamic, Rae insisted that all potential improvements should be tested on a scaled-down model, shrinking the training time and standardizing the performance metrics. But the progress of the strike team reflected another factor, too. The sheer quantity of one-slide presentations at the preparatory meeting had been an
by Antti Ilmanen · 24 Feb 2022
average return levels depend crucially on the leverage and volatility applied to these long/short strategies. Sharpe ratio (SR) is a more robust (scale-invariant) performance metric than average return. I will thus use SRs extensively, despite their own shortcomings. As a reminder, SR is the ratio of average over volatility for
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US bills 4.4% (5.9%), equity premium over bonds 3.1% (4.3%), and SR 0.35.8 Figure 4.4 shows four different performance metrics for five multi-country composites: World (the middle bar), its split to the US and World-ex-US, and an alternative split to Developed and
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). Many investors like this feature and it may have asset pricing implications. There is often less data in length, frequency, and quality in illiquid assets. Performance metrics based on internal rates of return (IRR) can be particularly problematic (opaque and gameable), and investors learn more slowly from them. Lack of investable indices
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from Cambridge Associates and Capital IQ. S&P500 EBITDA/EV is from Bloomberg. Notes: PME or public-market equivalent on the left chart is a performance metric which shows how much a PE fund, or here a vintage of PE funds launched in a given year, outperformed a public equity index (S
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may still expect abundant illiquidity premia for the asset class, motivated by marketing materials, which tout high past returns based on potentially misleading and gameable performance metrics such as internal rates of return. Or investors may be overoptimistic about manager-specific alpha. Catching the top-quartile managers was long thought to be
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since 1957. Consistency and Extensions The low-risk phenomenon is highly robust to using different strategies to capture the phenomenon as well as to different performance metrics. Table 6.3 provides various long-run performance measures for four statistical low-risk strategies and one fundamental low-risk strategy. The designs of BAB
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QMJ 4.1% 0.54 −0.26 5.9% 6.1 0.91 3.2% 5.4 0.84 While the columns show robustness across performance metrics, the rows show robustness across different specifications of defensive strategies. The one nuance is that dollar-neutral strategies SMR and IVOL, with significantly negative betas
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-French (2010), Jones-Wermers (2011), and Elton-Gruber-Blake (2012) on performance persistence. Empirical results on persistence vary depending on the sample, horizon length, and performance metric used. Overall, it is safest to say that the results are mixed and any evidence of either persistence or mean reversion is relatively modest or
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to any manager or strategy universes. See Black (1993) on data mining concerns, Cochrane (2011) on factor zoo, Bailey-Lopes de Prado (2014) on deflating performance metrics, Harvey-Liu-Zhu (2016) on diagnostics and remedies, and Hou-Xue-Zhang (2020) on replicating anomalies. Yet, Jensen-Kelly-Pedersen (2021) presents compelling evidence that
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process, 167–169 problems, 167 sustaining, 163 Pension fund balance sheet, terminology, 28–29 Pension plans, problems, 46 Per-decade equity premia, 57–58, 58f Performance metrics, IRR basis, 89 Peso problem, 167 Portfolios, 197f carbon emissions measure, 224 choice, risky assets (impact), 203f construction, 187, 195–196 insurance strategies, 209–210
by Ashutosh Deshmukh · 13 Dec 2005
, workflows and business rules Vendor Self-Service • Get information on request for quotation or proposals, purchase order revision, receipt or return of goods and payments • Performance metrics for quality and delivery • Inventory requirements available through EDI or Internet posting • Drill-down capabilities • Chat facilities with purchase people Expenditures • Online forms for claiming
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factors • Changes in the economic and market conditions • Changes in corporate objectives • Political imperatives • Personal opinions and beliefs Quantifiable factors • Contract usage • Contract compliance • Supplier performance metrics • Maverick purchases Copyright © 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. The
by Alan Berg · 15 Mar 2012 · 372pp · 67,140 words
nodes Testing with Fitnesse Activating Fitnesse HtmlUnit Fixtures Running Selenium IDE tests Triggering failsafe integration tests with Selenium Webdriver Creating JMeter test plans Reporting JMeter performance metrics Functional testing using JMeter assertions Enabling Sakai web services Writing test plans with SoapUI Reporting SoapUI test results Introduction By the end of this chapter
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on the User-Agents. JMeter can then loop through the User-Agents, asserting that the resources exist. See also Reporting JMeter performance metrics Functional testing using JMeter assertions Reporting JMeter performance metrics In this recipe, you will be shown how to configure Jenkins to run a JMeter test plan, and then collect and report
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, duration, and text found in the login response. Getting ready We assume that you have already performed the Creating JMeter test plans and Reporting JMeter performance metrics recipes. The recipe requires the creation of a user tester1 in Jenkins. Feel free to change the username and password. Remember to delete the test
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tutorial on this subject, review http://jmeter.apache.org/usermanual/jmeter_distributed_testing_step_by_step.pdf. See also Creating JMeter test plans Reporting JMeter performance metrics Enabling Sakai web services Sakai CLE is an application used by many hundreds of universities around the world. Based on more than a million lines
by K. Eric Drexler · 6 May 2013 · 445pp · 105,255 words
the range of functions that each can implement. The QISTR document must rise to a higher level of abstraction than ITRS. Rather than focusing on performance metrics, it adopts the “DiVincenzo promise criteria” (including scalability, gate universality, decoherence times, and suitable means for input and output) and through these criteria for essential
by Mark Casson · 14 Jul 2009 · 556pp · 46,885 words
C E M E T R I C S : D I S TA N C E A N D T I M E Two main performance metrics are used in this study: journey distance and journey time. The most obvious metric by which to compare the actual and counterfactual systems is by
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O N S T RU C T I O N O F T H E C O UN T E R FAC T UA L : PERFORMANCE METRICS To compare the performance of the actual and counterfactual systems a set of 250 representative journeys was examined. Ten different types of journey were 64
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75 Fig 3.3 objections to 12–14 optimality of the system 91–3 performance compared to actual system 64–5, 65 Tab 3.2 performance metrics 63–6 quality of network 392 Tab A4.1 and rational principles 322 Reading core hub 89 role of network 392, 393 Tab A4.2
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37, 234, 258, 259, 323 Pen-y-Daren Railway 137 Pencader 138 Pencuik 157 Penistone 124 Penrith 128, 129, 219 Pentland Hills 157 Penzance 141 performance metrics 6–8 counterfactual vs. actual network 65 Tab 3.2 distance 7–8 optimisation of railway network 10–11 policy implications 496–7 time 7
by Yu-Kai Chou · 13 Apr 2015 · 420pp · 130,503 words
star player. In fact, in both professional and collegiate basketball, besides standard stats such as 2-Point Shots, 3-Points Shots, Rebounds and other personal performance metrics, there is an important stat called Assists. Assists represents the amount of passes to teammates that immediately led to a score. Studies have shown that
by Heather Adkins, Betsy Beyer, Paul Blankinship, Ana Oprea, Piotr Lewandowski and Adam Stubblefield · 29 Mar 2020 · 1,380pp · 190,710 words
already been called are executed in the reverse order. The framework between the interceptors can transparently perform additional actions—for example, exporting error rates or performance metrics. This architecture leads to a clear separation of the logic performed at every stage, resulting in increased simplicity and reliability. Figure 12-1. A control
by Sebastien Donadio · 7 Nov 2019
able to understand the metrics of how to differentiate between a good model and a bad model. There are several well known and well understood performance metrics for different models. For regression prediction problems, we should try to minimize the differences between predicted value and the actual value of the target variable
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