Effect of Milk Market Pricing on Profitability of Holstein Sire Selection and Cost of Selection Error

We investigate the risk relevance of the standard deviation of three performance measures: net income, comprehensive income, and a constructed measure of full-fair-value income for a sample of 202 U.S. commercial banks from 1996 to 2004. We find that, for the average sample bank, the volatility of full-fair-value income is more than three times that of comprehensive income and more than five times that of net income. We find that the incremental volatility in full-fair-value income (beyond the volatility of net income and comprehensive income) is positively related to marketmodel beta, the standard deviation in stock returns, and long-term interest-rate beta. Further, we predict and find that the incremental volatility in full-fair-value income (1) negatively moderates the relation between abnormal earnings and banks' share prices and (2) positively affects the expected return implicit in bank share prices. Our findings suggest full-fair-value income volatility reflects elements of risk that are not captured by volatility in net income or comprehensive income, and relates more closely to capital-market pricing of that risk than either net-income volatility or comprehensiveincome volatility.

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Analysis on application level based on ordinal logistic regression and best of advanced manufacturing technologies (AMT) selection based on fuzzy-TOPSIS integration approach

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189663 ◽

2021 ◽

pp. 1-11

Author(s):

Guilian Wang ◽

Liyan Zhang ◽

Jing Guo

Keyword(s):

Logistic Regression ◽

Organizational Factors ◽

Fuzzy Topsis ◽

Ordinal Logistic Regression ◽

Industrial Robots ◽

Policy Implications ◽

Market Pricing ◽

Factors Affecting ◽

Pricing Power ◽

The Core Competence

This paper try to fully reveal the key factors affecting the the level of AMT application in micro- and small enterprises (MSEs) from its organizational factors by ordinal logistic regression. The results show that MSEs have a relatively high level of AMT application as a whole due to the maturity and cost reduction of basic technologies such as artificial intelligence, digital manufacturing and industrial robots. In this paper we propose manufacturing world analysis at Application using Logistic Regression and best AMT selection using Fuzzy-TOPSIS Integration approach.Considering the influence mechanism of each factor, the important factors that affect the application level of AMT are the enterprise’s market pricing power, the main production types, technical, market and management capabilities, organization development incentives and the interaction with external stakeholders. Based on the results above, the following policy implications are proposed: further expanding the customized production in MSEs to gradually improve the market pricing power, expanding the core competence of enterprises, enhancing the employee autonomy, and strengthening the interaction with industry organizations.

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