[PDF] Top 20 Estimating the Cost of Equity Using a Mining Build‑Up Model
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Estimating the Cost of Equity Using a Mining Build‑Up Model
... the cost of capital and valuation of different risks in companies has been of interest of not only investors but also ...the cost of capital and risk premium quantification in the context of CAPM ... See full document
11
Estimating the Cost of Equity Capital: An Empirical Analysis in the Tunisian Context
... only model for predicting future ...Pricing Model (TFPM), where in addition to the excess market return, two additional risk factors related to firm size and B/M ratio are ...factors model among ... See full document
13
A Practical Approach To Estimating The Cost Of Equity For South African Firms Undertaking Cross-Border Investments
... in estimating the cost of equity for a South African firms planning to invest ...Lassard model is equivalent to the Gamma or Damodaran mode, and both models yielded estimates closer to the ... See full document
12
An Application of Fuzzy Set Theory to the Weighted Average Cost of Capital and Capital Structure Decision
... pricing model (CAPM), which offers a very intuitive and straightforward method to gauge the cost of ...predominant model to estimate the cost of equity as shown in numerous surveys of ... See full document
9
The Design of Cost Estimating Model of Construction Project: Application and Simulation
... by using real quantitative data in order to formulate per- tinent terms before starting to attribute the said ...and cost overruns in construction projects of sky-scrappers in Bangkok and Thailand resulted ... See full document
12
A bottom-up approach to estimating cost elements of REDD+ pilot projects in Tanzania
... in cost information in order to develop strat- egies, allocate budgets, and to assess the effectiveness of green house gases (GHG) emission reductions from avoiding deforestation and forest degradation, conserva- ... See full document
14
The model of system predicting with the use of dynamic arrangement schemesa
... of using a cost approach and also life cycle models of enterprises in the tasks of building the system of planning and predicting activity are ...dynamic model of the cost growth is proposed ... See full document
8
Index Cost Estimation Using Case Based Reasoning Model Based on Macro BIM
... Cost estimation model for building projects using case-based reasoning. A case-based reasoning approach for estimating the costs of pump station 533[r] ... See full document
15
Predicting and Analysis of Student Performance Using Decision Tree Technique
... Data mining is very promising as a new effective technique for decision making ...data mining is an analysis of discipline to developing the methods for exploring the unique types of data from educational ... See full document
10
HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands
... Summer 2010 at Siikaneva was interesting since both model and measurements showed the highest emission peaks then. The maximum emissions do not coincide exactly on the same days, but they are temporally close. In ... See full document
27
AN IMPROVED MODEL FOR ESTIMATING RUNWAY ACCIDENT COST IN NIGERIA
... improved model for estimating runway accident cost in the aviation industry in ...to model the probability of consequences of runway accidents and subsequently the cost of the potential ... See full document
12
Cheap checking for cloud computing : statistical analysis via annotated data streams
... We build up a series of protocols for elementary sta- tistical methods, to create more complex proto- cols for Ordinary Least Squares, Principal Com- ponent Analysis and Linear Discriminant Analy- sis, and ... See full document
15
Accounting-based Risk Management and the Capital Asset Pricing Model: An Empirical Comparison
... lower cost of capital, such that on average the cost of capital is about three percentage points lower when using ...variable cost in the cost structures of the majority of ... See full document
20
SM2RAIN–ASCAT (2007–2018): global daily satellite rainfall data from ASCAT soil moisture observations
... for estimating rainfall: ground measurements, meteorological modelling, and remote ...for estimating rainfall from space are based on instantaneous measurements obtained from microwave ra- diometers, ... See full document
19
Fuzzy EOQ Model for Time-Deteriorating Items Using Penalty Cost
... EOQ model for time continuously deteriorating items using linear and exponential penalty ...inventory model for timely deteriorating products considering penalty cost and shortage ...inventory ... See full document
8
The reputational effects of analysts' stock recommendations and credit ratings: evidence from operational risk announcements in the financial industry
... of equity markets to downward stock recommendations is more than double the positive reaction to upward stock ...(negative) equity market reaction to “Buy” (“Sell”) stock recommendations in a Spanish ... See full document
56
A new feature concept applied in cost estimation model for a weld assemblage : Additional Information
... feature cost which allows the cost estimating relating to each operation then the application of this concept to preparing cost estimating (borders machining, weld pointing, ... See full document
13
Data Mining Technique for Prediction of Academic Performance of Student using SOM
... ABSTRACT: Datamining is the technique that can be directed to support the specific need of each of the participants in the education system and the process. Right now there are so many prediction systems are available ... See full document
6
<p>The Cost of Bottling It Up: Emotion Suppression as a Mediator in the Relationship Between Anger and Depression Among Men with Prostate Cancer</p>
... Parallel mediation analysis was conducted including the two control variables with a signi fi cant between-group dif- ference (eg, prostatectomy, surveillance). The model accounted for a large portion of variance ... See full document
8
Deep Long Short Term Memory Model for Stock Price Prediction using Technical Indicators
... to build up a Deep Long Short Term Memory (LSTM) model to achieve better prediction of stock market trends using correlated ...The model is implemented in Python using powerful ... See full document
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