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As a personnel policy that would assure the country's rapidly expanding railroad system the best grade of employees, centralization of discharge data within a company and interchange of such data between companies struck some executives as a useful practice. Others disagreed and, as Professor Black shows, their wisdom prevailed. The problem centered upon reliability of such key operating employees as brakemen and conductors, and responded better to institution of controls that would minimize the two most important misfeasances: drinking on the job and petty embezzlement.
In recent years a substantial number of empirical studies have been conducted concerning aggregate commercial bank behavior [2, 8, 11, 14, 15, 17, 18]. Although the scope of these studies has varied widely, none has included an adequate treatment of the relationship between commercial bank liability management and earning asset adjustments. The importance of the relationship between liability management and commercial bank asset behavior has been alluded to in the literature [3, 5, 6, 13, 18]; but there has been very little empirical investigation of the subject. Moreover, little is known about which assets and liabilities are primarily involved. By increasing or decreasing earning assets, the commercial banking system can create or eliminate deposits, thus affecting the supply of both money and bank credit. Since liability management and asset behavior are very closely related, it seems that an adequate understanding of this relationship is essential to understanding the money supply process.
The general framework employed in analyzing diversification among securities involves the mean-variance theory of portfolio selection described by Markowitz [8]. Observation of the securities comprising the efficient set indicates which financial sssets possess attributes (i.e., expected return and covariances) making them worthwhile components of an optimally diversified portfolio. This paper will be concerned with forming an efficient set from four security classes—common stocks, preferred stocks, corporate bonds, and U.S. government bonds (hereafter denoted CS, PS, CB, and GB, respectively). The first objective will be to derive and analyze an efficient set from a sample of these securities in order to determine which securities have potential benefits for diversification.