The Efficiency of Mutual Fund Families : Insights from the Spanish Market

The investment alternatives offered by mutual funds have had a significant effect on the savings patterns of many countries. Industry research has primarily focused on the funds themselves rather than on their management companies, but like other financial institutions, these companies, also known as mutual fund families, have experienced great periods of both expansion and contraction. It is important to address the efficiency of these institutions, as well. Carlos Sánchez González fills this gap in our knowledge with this empirical study. He develops an innovative model that considers the management stages of mutual fund companies, overcoming the traditional dispute between the different approaches used in banking and insurance research. Using data envelopment analysis (DEA) to evaluate efficiency levels, Sánchez González investigates the Spanish case, one of the most relevant industries in the Euro market, in order to provide insights into issues that have never been explored before. His study consists of two parts. The first explains the basic concepts, offers a brief explanation of the basic DEA models, and gives a review of the most important applications to financial institutions, all while developing a unique set of industry-specific variables in order to show how to apply the original slacks-based measure (SBM) approach. The second reviews the major concepts of SBM variations and shows how they can be applied to the Spanish mutual fund family industry in order to obtain unprecedentedly accurate empirical measures of its efficiency. This ground-breaking work offers much food for thought to academic researchers and postgraduate students of management, finance, and marketing. "Sánchez-González develops an innovative model that considers different management stages of mutual fund companies, overcoming the traditional dispute between the different approaches used in banking and insurance research. Research on the mutual fund industry has been primarily focused on mutual funds rather than on their management companies. This new work fills this gap in the empirical knowledge of the efficiency obtained by mutual fund management companies. The research analyses the Spanish case, which is one of the most relevant fund industries in the Euro market, providing new insights into issues that have not been explored prior. Data envelopment analysis (DEA) is the basic methodology used to evaluate the efficiency level. The book consists of two parts. The first part includes the basic concepts, a brief explanation of the basic DEA models, and a review of the most important applications to financial institutions. The authors formulate the multi-management stage model and the unique set of fund industry-specific variables used in this research. Subsequently, the efficiency of Spanish mutual fund companies is evaluated using the SBM approach. Finally, this part concludes and summarises the major findings of the efficiency analysis. The second part of the book reviews the major concepts of the variations in the original SBM approach and the more accurate empirical results of these SBM variants in the Spanish mutual fund industry. Subsequently, this part illustrates the persistence phenomenon to further determine whether any relevant factors may drive the efficiency results previously obtained. Finally, the second part presents conclusions and a summary of the major findings."-- Provided by publisher S¿̐ưanchez-Gonz¿̐ưalez develops an innovative model that considers different management stages of mutual fund companies, overcoming the traditional dispute between the different approaches used in banking and insurance research. Research on the mutual fund industry has been primarily focused on mutual funds rather than on their management companies. This new work fills this gap in the empirical knowledge of the efficiency obtained by mutual fund management companies. The research analyses the Spanish case, which is one of the most relevant fund industries in the Euro market, providing new insights into issues that have not been explored prior. Data envelopment analysis (DEA) is the basic methodology used to evaluate the efficiency level. The book consists of two parts. The first part includes the basic concepts, a brief explanation of the basic DEA models, and a review of the most important applications to financial institutions. The authors formulate the multi-management stage model and the unique set of fund industry-specific variables used in this research. Subsequently, the efficiency of Spanish mutual fund companies is evaluated using the SBM approach. Finally, this part concludes and summarises the major findings of the efficiency analysis. The second part of the book reviews the major concepts of the variations in the original SBM approach and the more accurate empirical results of these SBM variants in the Spanish mutual fund industry. Subsequently, this part illustrates the persistence phenomenon to further determine whether any relevant factors may drive the efficiency results previously obtained. Finally, the second part presents conclusions and a summary of the major findings Sánchez González develops an innovative model that considers different management stages of mutual fund companies, overcoming the traditional dispute between the different approaches used in banking and insurance research.