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Economic Value A Complete Guide - 2020 Edition

Why is it so difficult to quickly Deliver Quality software? How may the design of an agile supply chain be supported? What is the best practice of performance measurement in agile processes? What aspects of your infrastructure are key to making agile processes successful, and what aspects of agile processes themselves are responsible for success? When does a strategy create economic value? This easy Economic Value self-assessment will make you the entrusted Economic Value domain standout by revealing just what you need to know to be fluent and ready for any Economic Value challenge. How do I reduce the effort in the Economic Value work to be done to get problems solved? How can I ensure that plans of action include every Economic Value task and that every Economic Value outcome is in place? How will I save time investigating strategic and tactical options and ensuring Economic Value costs are low? How can I deliver tailored Economic Value advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Economic Value essentials are covered, from every angle: the Economic Value self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Economic Value outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Economic Value practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Economic Value are maximized with professional results. Your purchase includes access details to the Economic Value self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Economic Value Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in.

Changes in the Economic Value of Variable Generation at High Penetration Levels

A Pilot Case Study of California

We estimate the long-run economic value of variable renewable generation with increasing penetration using a unique investment and dispatch model that captures long-run investment decisions while also incorporating detailed operational constraints and hourly time resolution over a full year. High time resolution and the incorporation of operational constraints are important for estimating the economic value of variable generation, as is the use of a modeling framework that accommodates new investment decisions. The model is herein applied with a case study that is loosely based on California in 2030. Increasing amounts of wind, photovoltaics (PV), and concentrating solar power (CSP) with and without thermal energy storage (TES) are added one at a time. The marginal economic value of these renewable energy sources is estimated and then decomposed into capacity value, energy value, day-ahead forecast error cost, and ancillary services. The marginal economic value, as defined here, is primarily based on the combination of avoided capital investment cost and avoided variable fuel and operations and maintenance costs from other power plants in the power system. Though the model only captures a subset of the benefits and costs of renewable energy, it nonetheless provides unique insights into how the value of that subset changes with technology and penetration level. Specifically, in this case study implementation of the model, the marginal economic value of all three solar options is found to exceed the value of a flat-block of power (as well as wind energy) by \$20--30/MWh at low penetration levels, largely due to the high capacity value of solar at low penetration. Because the value of CSP per unit of energy is found to be high with or without thermal energy storage at low penetration, we find little apparent incremental value to thermal storage at low solar penetration in the present case study analysis. The marginal economic value of PV and CSP without thermal storage is found to drop considerably (by more than \$70/MWh) as the penetration of solar increases toward 30\percent on an energy basis. This is due primarily to a steep drop in capacity value followed by a decrease in energy value. In contrast, the value of CSP with thermal storage drops much less dramatically as penetration increases. As a result, at solar penetration levels above 10\percent, CSP with thermal storage is found to be considerably more valuable relative to PV and CSP without thermal storage. The marginal economic value of wind is found to be largely driven by energy value, and is lower than solar at low penetration. The marginal economic value of wind drops at a relatively slower rate with penetration, however. As a result, at high penetration, the value of wind can exceed the value of PV and CSP without thermal storage. Though some of these findings may be somewhat unique to the specific case study presented here, the results: (1) highlight the importance of an analysis framework that addresses long-term investment decisions as well as short-term dispatch and operational constraints, (2) can help inform long-term decisions about renewable energy procurement and supporting infrastructure, and (3) point to areas where further research is warranted.

This is due primarily to a steep drop in capacity value followed by a decrease in energy value. In contrast, the value of CSP with thermal storage drops much less dramatically as penetration increases.

The Forecasting Ability of Money Market Fund Managers and Its Economic Value

The model proposed by Merton(1981) to determine the value of forecasting ability is adapted to investigate whether money market fund managers successfully anticipate changes in the yield curve by adjusting the average maturity of their portfolios in the right direction. The potential economic value of such behavior is assessed, and it is shown that if the portfolios of all money market funds were aggregated it would appear that managers are good forecasters even if individually they possess insignifcant forecasting ability. At the same time, the economic value of the aggregate portfolio will be diminished because of the reduced net change in average maturity. Thus, diversifying into many money market funds will not attain the gain that could be realized if an individual manager had a forecasting ability equal to the quality of the average forecast.A sample of 34 money market funds is investigated. Analysis suggests that a small fraction of the funds exhibited forecasting skills, but even they generated negligible economic value because the changes in their portfolios average maturity were too small.There appears to be no relationship between forecasting ability and economic success of money market funds as measured by asset size and growth.

The model proposed by Merton(1981) to determine the value of forecasting ability is adapted to investigate whether money market fund managers successfully anticipate changes in the yield curve by adjusting the average maturity of their ...

Economic Value of Electric Light and Power

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Our readers see the books the same way that their first readers did decades or a hundred or more years ago. Books from that period are often spoiled by imperfections that did not exist in the original.

Essays on the Economic Value of Intraday Covariation Estimators for Risk Prediction

This thesis investigates the economic value of incorporating intraday volatility estimators into the volatility forecasting process. The increased reliance on volatility forecasting in the financial industry has intensified the need for more rigorous analysis from an economic perspective instead of merely statistical point of view. A better understanding of the available methods has implications for portfolio optimization, volatility trading and risk management. More recently, volatility of asset returns was once again under spotlight during the 2008-2009 financial crisis. The study contributes to the extant volatility forecasting literature in three areas. First, it addresses the question of how to practically and effectively exploit intraday price information for variance and covariance modelling and forecasting. Second, it addresses the development of an 'optimal' intraday volatility model that accommodates market practitioners preferences. Third, it evaluates the economic value of combining realized (intraday) volatility estimators for utilizing unique information embedded in each estimator. The thesis is organised as follows. One of the most visible indicators of the crisis that captured the attention of the financial industry was the extremely high level of asset return volatility. This uncertainty prompted much interest for a more accurate, yet practically applicable approach for volatility forecasting. Chapter 2 introduces the various realized volatility estimators, volatility forecasting procedures and their corresponding realized extensions used in our subsequent empirical investigations. Chapter 3 evaluates the economic value of various intraday covariance estimation approaches for mean-variance portfolio optimization. Economic loss functions overwhelmingly favour intraday covariance matrix models instead of their daily counterparts. The constant conditional correlation (CCC) augmented with realized volatility produces the highest economic value when applied with a time-varying volatility timing strategy. Chapter 4 compares the practical value of intraday based single index (univariate) and portfolio (multivariate) models through the lens of Value-at-Risk (VaR) forecasting. VaR predictions are generated from standard daily univariate or multivariate GARCH models, as well as GARCH models extended with ARFIMA forecasted realized measures. Conditional coverage test results indicate that intraday models, both univariate and multivariate ones, outperform their daily counterparts by providing more accurate VaR forecasts. Chapter 5 investigates the economic value of combining intraday volatility estimators for volatility trading. The simulated option trading results indicate that a naive combination of an intraday estimator and implied volatility cannot be outperformed by the best individual estimator. In addition, trading performance can be further boosted by applying more complex combination models such as a regression based combination of 42 single volatility estimators.

This thesis investigates the economic value of incorporating intraday volatility estimators into the volatility forecasting process.

Assessment of the Total Economic Value of Floral Diversity

Total Economic Value (TEV) is a concept which consists of direct and indirect use value as well as non-use values and thus incorporates all sorts of benefits from any environmental assets. This study is aimed to assess the all market and non-market values of floral diversity to provide a picture for the policy makers that how much value the society should achieve for the loss of floral diversity from proposed open cast coal mining activities in Dinajpur, Bangladesh. To assess the floral diversity of the study area list-count quadrant method was applied. Then economic theory was set under an integrated valuation framework for each benefit depending upon its value characterization. The counting TEV of the floral diversity of the study area was found as 1824375.736 thousand Tk/year. Among the total value, direct use value is 1652372.122 (90%), indirect use value is 158724.434 (9%), and non-use value is 13279.180 (1%) thousand Tk/year.This study founds that 19% values of such types are ignored most of the time into the policy-making process. This ignorance ultimately hampers the marginal social benefit and in some cases provides marginal private benefit.

Total Economic Value (TEV) is a concept which consists of direct and indirect use value as well as non-use values and thus incorporates all sorts of benefits from any environmental assets.

The Irish Women’s Movement

From Revolution to Devolution

This book provides a comprehensive analysis of the emergence, consolidation and development of the Irish women's movement, as a social movement, in the course of the twentieth century. It seek to address several lacunae in Irish studies by illuminating the processes through which the movement and, in particular, networks of constituent organisations, came to fruition as agencies of social change. The central argument advanced is that when viewed historically, the Irish women's movement is characterised by its interconnectedness and continuity: the central tensions, themes and organising strategies of the movement connects diverse organisations and constituencies, over time and space. This book will be essential reading for those interested in Irish studies, sociology, history, women's studies, and politics.

This book provides a comprehensive analysis of the emergence, consolidation and development of the Irish women's movement, as a social movement, in the course of the twentieth century.