Rate of Return, Rate Base and Regulatory Lag under Conditions of Changing Capital Costs

1974 ◽  
Vol 50 (2) ◽  
pp. 145 ◽  
Author(s):  
Willard T. Carleton
Keyword(s):  
Return Rate ◽  
Rate Of Return ◽  
Capital Costs ◽  
Rate Base

Rate of Return - Rate Base Issues in Utility Regulation

1987 ◽  
Vol 32 (3) ◽  
pp. 231-245 ◽  
Author(s):  
Robert G. Bussa ◽  
Charles M. Linke ◽  
J. Kenton Zumwalt
Keyword(s):  
Return Rate ◽  
Rate Of Return ◽  
Utility Regulation ◽  
Rate Base

Interdependence of Utility Rate-Base Type, Permitted Rate of Return, and Utility Earnings

1962 ◽  
Vol 17 (1) ◽  
pp. 38 ◽  
Author(s):  
David K. Eiteman
Keyword(s):  
Rate Of Return ◽  
Rate Base ◽  
Utility Rate

INTERDEPENDENCE OF UTILITY RATE-BASE TYPE, PERMITTED RATE OF RETURN, AND UTILITY EARNINGS*

1962 ◽  
Vol 17 (1) ◽  
pp. 38-52 ◽  
Author(s):  
David K. Eiteman
Keyword(s):  
Rate Of Return ◽  
Rate Base ◽  
Utility Rate

Rate of return regulation and rate base valuation

1998 ◽  
Vol 28 (5) ◽  
pp. 629-654 ◽  
Author(s):  
Yukihiro Kidokoro
Keyword(s):  
Rate Of Return ◽  
Rate Base ◽  
Return Regulation

Patagial Tags - Do Benefits Outweigh Risks to the Animal

1988 ◽  
Vol 15 (5) ◽  
pp. 565 ◽  
Author(s):  
DA Saunders
Keyword(s):  
Endangered Species ◽  
Survival Rates ◽  
Life Tables ◽  
Return Rate ◽  
Rate Of Return ◽  
First Year ◽  
Breeding Area ◽  
Strong Case ◽  
Adult Females ◽  
Recent Method

The use of patagial tags to individually mark animals, particularly birds, is a recent method of identification. Disadvantages to the animal may outweigh any benefits to the researcher. I compare the rate of return to the breeding area of leg-banded and patagial tagged Carnaby's cockatoos, Calyptorhynchus funereus latirostris. Adult females which were patagial tagged had a first year rate of return of 59% (N= 172) compared with 100% (N= 12) for females with leg bands. Immature females which were patagial tagged before fledging had a return rate to breed in the study area (4 years later) of 1.3% (N= 150) compared with 12.7% (N=71) for leg-banded individuals. The data used in these comparisons were not collected in the same years but they suggest that patagial tags may increase mortality; in the case of Carnaby's cockatoo predation is the most likely cause. This possible increased mortality indicates that data gathered from resighting of patagial-tagged individuals should not be used in life tables and calculations of 'normal' survival rates until such effects can be discounted. A strong case for the use of patagial tags should be made before they are used on rare, vulnerable or endangered species.

scholarly journals Irreversible Investment, Capital Costs and Productivity Growth: Implications for Telecommunications

2007 ◽  
Vol 6 (3) ◽  
Author(s):  
Jeffrey I. Bernstein ◽  
Theofanis P. Mamuneas
Keyword(s):  
Productivity Growth ◽  
Opportunity Cost ◽  
Cost Of Capital ◽  
Rate Of Return ◽  
Irreversible Investment ◽  
Capital Costs ◽  
Tfp Growth ◽  
Percentage Points ◽  
Investment Capital ◽  
Hurdle Rate

This paper develops a model incorporating costly disinvestment and estimates the associated commitment premium required to invest in telecommunications. Results indicate that the irreversibility premium raises the opportunity cost of capital by 70 percent. This implies an average annual hurdle rate of return of 14 percent over the period 1986-2002. Irreversibility creates a distinction between observed and adjusted TFP growth. Observed growth, which omits the premium, annually averaged 2.8 percent from 1986 to 2002. This rate exceeded the (premium) adjusted TFP growth by 0.7 percentage points, therefore the average annual observed productivity growth overestimated the corrected rate by 33 percent.

scholarly journals Economic Analysis of an Integrated Anthropogenic Carbon Dioxide Network for Capture and Enhanced Oil Recovery Along the Texas Gulf Coast

2009 ◽  
Author(s):  
Carey W. King ◽  
Gu¨rcan Gu¨len ◽  
Joseph Essandoh-Yeddu ◽  
Susan Hovorka
Keyword(s):  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Power Plants ◽  
Gulf Coast ◽  
Capital Expenditure ◽  
Influential Factors ◽  
Rate Of Return ◽  
Total System ◽  
Capital Costs ◽  
Texas Gulf Coast

This paper explains the system economics of an example integrated network that uses anthropogenic CO2 from Texas Gulf Coast fossil power plants for enhanced oil recovery (EOR). These CO2 sources and sinks are connected via a pipeline network. A discounted cash flow model indicates that for all candidate oil fields that require less than an estimated $10/BBL in EOR capital expenditure, all three entities (CO2 capture, pipelines, and EOR operators) can have 20% internal rate of return at $55 per tonne of CO2 and $56 per barrel of oil. These results include no existing or future tax incentives, and there are some costs not yet included. However, a Monte Carlo analysis shows insight by indicating that the total system rate of return is most sensitive to oil production parameters. Oil price and estimated amount of recoverable oil are the most positively influential factors while the EOR capital cost is the most negatively sensitive factor. The capital costs of capture and CO2 price are less sensitive, both negatively affecting rate of return.

Perbedaan Return Dan Risiko Saham Perusahaan Yang Tercatat Pada Indeks Kompas 100 Tahun 2011-2015 Setelah Melakukan Akuisisi Saham

2016 ◽  
Vol 1 (01) ◽  
pp. 13-20
Author(s):  
Ryan Farandy
Keyword(s):  
Stock Returns ◽  
Significant Influence ◽  
Stock Price ◽  
T Test ◽  
Return Rate ◽  
Percentage Change ◽  
Rate Of Return ◽  
Risk And Return ◽  
Paired Sample ◽  
Public Company

The research is the study of the acquisition of company shares that can affect return (rate of return) of shares and share risk. The object of research is a public company listed on the Index Kompas 100 in 2011-2015 as well as with the financial period 2011-2015. Stock returns are calculated on the percentage change in the stock price closing the year end. Factors suspected to affect stock returns and stock risk in this study is the acquisition of shares made by the company. Data were analyzed using Paired Sample T-Test with SPSS to compare differences in risk and return stock 10 days before to 10 days after the acquisition of shares. The results showed that the acquisition of shares does not give a significant influence on differences in risk and return stock.  

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