scholarly journals Implied Market Price of Weather Risk

Author(s):  
Wolfgang K. HHrdle ◽  
Brenda LLpez Cabrera
Keyword(s):  
2012 ◽  
Vol 19 (1) ◽  
pp. 59-95 ◽  
Author(s):  
Wolfgang Karl Härdle ◽  
Brenda López Cabrera
Keyword(s):  

2009 ◽  
Vol 17 (2) ◽  
pp. 49-66
Author(s):  
Kwang-Il Bae ◽  
Jin Hee Choung

The weather largely affects economic activity, and thus, companies vulnerable to weather risk need to plan ahead to cope with unexpected weather changes, just as they do for changes in interest rates, oil prices, or foreign exchange rates to stabilize their earning stream. Weather derivatives can be a useful tool for weather risk management. This paper focuses on pricing one of the most popular weather derivatives -HDD/CDD options- and estimating the market price of weather risk (MPR). Historical data are used to construct the stochastic process of temperature, while the current market prices of Chicago and New York HDD futures options are used to extract the implied MPR. The Monte-Carlo Simulation Method is proposed to estimate the price of weather derivatives numerically. In addition, the approximate closed form formula for the options is provided modifying the Alaton, Djehiche, and Stillberg (2002) model. Finally, option price sensitivity to changes in MPR is analyzed to show the important role of the MPR in the weather option pricing model.


2008 ◽  
Vol 28 (8) ◽  
pp. 790-814 ◽  
Author(s):  
Hung-Hsi Huang ◽  
Yung-Ming Shiu ◽  
Pei-Syun Lin

2004 ◽  
Vol 24 (11) ◽  
pp. 1065-1089 ◽  
Author(s):  
Melanie Cao ◽  
Jason Wei

MODUS ◽  
2016 ◽  
Vol 26 (2) ◽  
pp. 93
Author(s):  
Irene Adrayani

This study aims to get empirical evidence about the infuence of IT spending on corporate value by testing the efect of IT spending on corporate value by using Tobin’s Q. Te higher the stock price, the higher the company value as well as investors’ assessment. The market price of the company’s stocks refects investors’ assessment of the overall equity held. Of the stock price refects investor can provide an assessment of a company. Tobin’s Q is the ratio of the market value of the company’s assets as measured by the market value of the outstanding stocks and debt (enterprise value) to the replacement cost of the assets of the company. The sampling method is based on purposive sampling method with the purpose to obtain a sample that meets the criteria. Tis study used a sample taken from a telecommunications company listed on the Stock Exchange throughout Southeast Asia during the period of 2009-2011. The hypothesis in this study was tested using simple regression. Based on data analysis, the result that the variable IT spending does not afect the company value.Keywords: accounting information system, Tobin’s Q, IT spending, capital expenditure, company performance


1958 ◽  
Vol 14 (5) ◽  
pp. 67-67
Author(s):  
F.W. Elliott Farr
Keyword(s):  

1970 ◽  
pp. 24
Author(s):  
MUHAMMAD TAHIR LATIF, FALAK SHER, MUZZAMMIL HUSSAIN

A field survey was conducted during 2016 to estimate the profitability of normal season and off-season muskmelon cultivation in district Sialkot, Pakistan. The primary data was collected from forty farmers with convenience sampling method. Economic parameters like net return and BCR were employed. Off-season muskmelon cultivation was found economically feasible due to additions of yield (17%), gross income (122%), profit (161%) and market price (90%) in comparison to normal season crop. Therefore, it is recommended to cultivate the off-season muskmelon (BCR 3.26) to obtain more profit and fulfill the customer demand in less supply period instead of normal season cultivation (BCR 2.44).


GIS Business ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. 28-38
Author(s):  
Dinis Daniel Santos ◽  
Elias Soukiazis

This work uses a simultaneous equation system approach to analyze the relationship between the management and business quality of companies and their market price quality. Using panel data we found that both the management and the business quality of companies positively influence the market price quality of the studied American companies. Additionally, variables like the actual position of the company price quality compared to the industry average, being on the top or the bottom, or the beta value of a company, also influence the market price quality of the respective company. It is shown that the system equation approach is the most appropriate to explain the linkages between price, business, and management quality providing consistent estimates. Also, using ratings to express the three core variables in the system is the most adequate way to define the quality characteristics in terms of price, management, and business performance of the companies considered in this study.


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