The New Natural Gas Futures Market - Is it Efficient?

1993 ◽  
Vol 11 (5) ◽  
pp. 459-466 ◽  
Author(s):  
John H. Herbert
Keyword(s):  
Natural Gas ◽  
Futures Market ◽  
Regression Equation ◽  
Futures Prices ◽  
Time Period ◽  
The Relationship

Aspects of the natural gas futures market are discussed. In particular, the efficiency of the natural gas futures market is evaluated using a regression equation. It is found that the market has behaved more like an inefficient market than an efficient one. A variety of tests are applied to the estimated equation. These tests suggest that the estimated equation provides a good summary of the relationship between spot and futures prices for the time period. In addition, the equation is found to produce accurate forecasts.

scholarly journals Relationship between Company's Intellectual Capital and Performance

Economics ◽  
2015 ◽  
pp. 728-746 ◽  
Author(s):  
Karam Pal Narwal ◽  
Sushila Soriya
Keyword(s):  
Information Technology ◽  
Financial Reporting ◽  
Intellectual Capital ◽  
Value Added ◽  
Regression Equation ◽  
Information Technology Industry ◽  
Technology Industry ◽  
Time Period ◽  
And Performance ◽  
The Relationship

This chapter examines the relationship between Financial Reporting of Intellectual Capital and Company's Performances in Indian Information Technology Industry. The sample consisted of 60 companies listed on NSE for a time period of 1999-00 to 2008-09. Value-Added Intellectual Coefficient (VAICTM) method developed by Pulic (1998) was used for the analysis of the data. The chapter uses VAICTM model and regression equation for the evaluation of intellectual capital and their relationship with productivity, profitability, and market valuation of the companies. The result of the chapter supports the hypothesis that profitability of the company can be explained by the intellectual capital. However, there is no significant association of intellectual capital with productivity and market capitalization of the companies for the selected time period of year 1999-00 to 2008-09.

Relationship between Company's Intellectual Capital and Performance

2015 ◽  
pp. 190-209
Author(s):  
Karam Pal Narwal ◽  
Sushila Soriya
Keyword(s):  
Information Technology ◽  
Financial Reporting ◽  
Intellectual Capital ◽  
Value Added ◽  
Regression Equation ◽  
Information Technology Industry ◽  
Technology Industry ◽  
Time Period ◽  
And Performance ◽  
The Relationship

This chapter examines the relationship between Financial Reporting of Intellectual Capital and Company's Performances in Indian Information Technology Industry. The sample consisted of 60 companies listed on NSE for a time period of 1999-00 to 2008-09. Value-Added Intellectual Coefficient (VAICTM) method developed by Pulic (1998) was used for the analysis of the data. The chapter uses VAICTM model and regression equation for the evaluation of intellectual capital and their relationship with productivity, profitability, and market valuation of the companies. The result of the chapter supports the hypothesis that profitability of the company can be explained by the intellectual capital. However, there is no significant association of intellectual capital with productivity and market capitalization of the companies for the selected time period of year 1999-00 to 2008-09.

An analysis of the relationship between electricity and natural-gas futures prices

2002 ◽  
Vol 22 (2) ◽  
pp. 95 ◽  
Author(s):  
Gary W. Emery ◽  
Qingfeng (Wilson) Liu
Keyword(s):  
Natural Gas ◽  
Futures Prices ◽  
The Relationship

Financial Reporting of Intellectual Capital and Company’s Performance in Indian Information Technology Industry

2011 ◽  
Vol 2 (2) ◽  
pp. 34-49
Author(s):  
Karam Pal ◽  
Sushila Soriya
Keyword(s):  
Information Technology ◽  
Financial Reporting ◽  
Intellectual Capital ◽  
Value Added ◽  
Regression Equation ◽  
Market Valuation ◽  
Information Technology Industry ◽  
Technology Industry ◽  
Time Period ◽  
The Relationship

This paper examines the relationship between Financial Reporting of Intellectual Capital and Company’s Performances in Indian Information Technology Industry. For the purpose of this study, sixty companies listed on NSE were taken for a period of 1999-00 to 2008-09. Value Added Intellectual Co-efficient (VAICTM) method developed by Pulic (1998) was used for the analysis of the data. The present study uses VAICTM model and regression equation for the evaluation of intellectual capital and their relationship with productivity, profitability, and market valuation of the companies. The result of the study supports the hypothesis that profitability of the company can be explained by the intellectual capital. However, there is no significant association of intellectual capital with productivity and market capitalization of the companies for the selected time period of year 1999-00 to 2008-09.

VOLATILITY AND LIQUIDITY ON HIGH-FREQUENCY ELECTRICITY FUTURES MARKETS: EMPIRICAL ANALYSIS AND STOCHASTIC MODELING

2020 ◽  
Vol 23 (04) ◽  
pp. 2050027
Author(s):  
MARCEL KREMER ◽  
FRED ESPEN BENTH ◽  
BJÖRN FELTEN ◽  
RÜDIGER KIESEL
Keyword(s):  
Monte Carlo ◽  
Stochastic Models ◽  
Continuous Time ◽  
High Frequency ◽  
Futures Markets ◽  
A Priori ◽  
Futures Market ◽  
Futures Prices ◽  
Volatility Function ◽  
The Relationship

This paper investigates the relationship between volatility and liquidity on the German electricity futures market based on high-frequency intraday prices. We estimate volatility by the time-weighted realized variance acknowledging that empirical intraday prices are not equally spaced in time. Empirical evidence suggests that volatility of electricity futures decreases as time approaches maturity, while coincidently liquidity increases. Established continuous-time stochastic models for electricity futures prices involve a growing volatility function in time and are thus not able to capture our empirical findings a priori. In Monte Carlo simulations, we demonstrate that incorporating increasing liquidity into the established models is key to model the decreasing volatility evolution.

Financial Reporting of Intellectual Capital and Company’s Performance in Indian Information Technology Industry

2013 ◽  
pp. 1-17
Author(s):  
Karam Pal ◽  
Sushila Soriya
Keyword(s):  
Information Technology ◽  
Financial Reporting ◽  
Intellectual Capital ◽  
Value Added ◽  
Regression Equation ◽  
Market Valuation ◽  
Information Technology Industry ◽  
Technology Industry ◽  
Time Period ◽  
The Relationship

This paper examines the relationship between Financial Reporting of Intellectual Capital and Company’s Performances in Indian Information Technology Industry. For the purpose of this study, sixty companies listed on NSE were taken for a period of 1999-00 to 2008-09. Value Added Intellectual Co-efficient (VAICTM) method developed by Pulic (1998) was used for the analysis of the data. The present study uses VAICTM model and regression equation for the evaluation of intellectual capital and their relationship with productivity, profitability, and market valuation of the companies. The result of the study supports the hypothesis that profitability of the company can be explained by the intellectual capital. However, there is no significant association of intellectual capital with productivity and market capitalization of the companies for the selected time period of year 1999-00 to 2008-09.

scholarly journals A Study of the Economic Functions of the Maine Potato Futures Market

1980 ◽  
Vol 9 (1) ◽  
pp. 51-61
Author(s):  
Jeff Sooy ◽  
Ben Branch
Keyword(s):  
Futures Markets ◽  
Futures Market ◽  
Extensive Study ◽  
Convincing Evidence ◽  
Recent Time ◽  
The Other ◽  
Futures Prices ◽  
Spot Prices ◽  
Time Period ◽  
Maine Potato

In an update and extension of prior work this study found that the potato futures markets continued to provide very unreliable forecasts of subsequent spot prices. On the other hand and contrary to some past studies an extensive study here failed to turn up any convincing evidence of a cobweb pricing relationship. Moreover the increasing volatility of potato futures prices in the more recent time period raises questions regarding their value as hedging vehicles. Finally it is argued that the market's efficiency might be improved by expanding the current Maine potato contract to permit delivery of round white potatoes grown outside Maine.

scholarly journals Forecasting Performance Of Natural Gas Futures Market: An Assessment Of Recent Data

2011 ◽  
Vol 4 (11) ◽  
Author(s):  
Salah Abosedra ◽  
Khaled Elkhal ◽  
Faisal Al-Khateeb
Keyword(s):  
Natural Gas ◽  
Futures Market ◽  
Policy Implications ◽  
Energy Market ◽  
Futures Prices ◽  
Font Size ◽  
Spot Prices ◽  
Forecasting Performance ◽  
Futures Price ◽  
The U.S

<p class="MsoNormal" style="text-align: justify; margin: 0in 34.2pt 0pt 1in;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">Natural gas has assumed increasing importance in the global energy market. This study evaluates the forecasting performance of futures prices of natural gas in the large market of the U.S. at various time horizons. The results indicate that futures prices are unbiased predictors at the 1-, 6-, and 12- month horizons, but not at the 3- and 9- month horizons. The results further suggest that futures prices of natural gas, although biased at some intervals, significantly outperform na&iuml;ve forecasts in predicting future movements of spot prices. In addition, the information content of the 1-month ahead futures price proves especially useful as a forecasting device. Policy implications are also discussed.<span style="mso-bidi-font-style: italic; mso-bidi-font-weight: bold;"></span></span></span></p>

Burn-In Acceleration Considerations in 130nm and 90nm Products

2005 ◽  
Author(s):  
Nobuyuki Wakai ◽  
Yuji Kobira ◽  
Takashi Setoya ◽  
Tamotsu Oishi ◽  
Shinichi Yamasaki
Keyword(s):  
Failure Analysis ◽  
Shape Parameter ◽  
Defect Density ◽  
Failure Mechanisms ◽  
Effective Procedure ◽  
Time Period ◽  
Related Defect ◽  
The Relationship

Abstract An effective procedure to determine the Burn-In acceleration factors for 130nm and 90 nm processes are discussed in this paper. The relationship among yield, defect density, and reliability, is well known and well documented for defect mechanisms. In particular, it is important to determine the suitable acceleration factors for temperature and voltage to estimate the exact Burn- In conditions needed to screen these defects. The approach in this paper is found to be useful for recent Cu-processes which are difficult to control from a defectivity standpoint. Performing an evaluation with test vehicles of 130nm and 90nm technology, the following acceleration factors were obtained, Ea&gt;0.9ev and β (Beta)&gt;-5.85. In addition, it was determined that a lower defect density gave a lower Weibull shape parameter. As a result of failure analysis, it is found that the main failures in these technologies were caused by particles, and their Weibull shape parameter “m” was changed depending of the related defect density. These factors can be applied for an immature time period where the process and products have failure mechanisms dominated by defects. Thus, an effective Burn-In is possible with classification from the standpoint of defect density, even from a period of technology immaturity.

Relationship between Coffee Prices in Spot and Futures Markets-An Empirical Analysis

2020 ◽  
pp. 180-188
Keyword(s):  
New York ◽  
Correlation Coefficients ◽  
Strong Relationship ◽  
Futures Market ◽  
Regression Coefficients ◽  
Futures Prices ◽  
Market Prices ◽  
Spot Prices ◽  
Correlation And Regression Analysis ◽  
Highly Correlated

The present study explored the relationship between spot and futures coffee prices. The Correlation and Regression analysis were carried out based on monthly observations of International Coffee Organization (ICO) indicator prices of the four groups (Colombian Milds, Other Milds, Brazilian Naturals, and Robustas) representing Spot markets and the averages of 2nd and 3rd positions of the Intercontinental Exchange (ICE) New York for Arabica and ICE Europe for Robusta representing the Futures market for the period 1990 to 2019. The study also used the monthly average prices paid to coffee growers in India from 1990 to 2019. The estimated correlation coefficients indicated both the Futures prices and Spot prices of coffee are highly correlated. Further, estimated regression coefficients revealed a very strong relationship between Futures prices and Spot prices for all four ICO group indicator prices. Hence, the ICE New York (Arabica) and ICE Europe (Robusta) coffee futures prices are very closely related to Spot prices. The estimated regression coefficients between Futures prices and the price paid to coffee growers in India confirmed the positive relationship, but the dispersion of more prices over the trend line indicates a lesser degree of correlation between the price paid to growers at India and Futures market prices during the study period.

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