Technical Efficiency in Stock Markets

David Mayes, Iftekhar Hasan, Timo Iivarinen, Karlo Kauko, Kari Kemppainen, Tanai Khiaonarong, Kari Korhonen, Harry Leinonen, Markku Malkamäki, Alistair Milne, Kirsi Ripatti, Heiko Schmiedel, Oz Shy, Juha Tarkka and Jukka Topi

Chapter 3 in The Future of Financial Markets, 2006, pp 60-96 from Palgrave Macmillan

Abstract: Abstract Much of our understanding of the way stock exchanges may develop will depend on empirical evidence on their structures and how they have been evolving over recent years. If we can see that there are strong economies of scale, for example, then we can expect that the larger stock exchanges will either drive the smaller out of business as barriers between them fall or that the smaller exchanges will merge so that they can compete successfully with their larger counterparts. Similarly we might expect that if there is a wide range of efficiency among exchanges that persists over time despite the reduction in barriers then it will be possible for a variety of exchanges to remain in business as other sources of competitive advantage clearly exist. In this and the subsequent chapter we explore the efficiency of stock exchanges, considering both their cost and revenue structures. We employ two main approaches: stochastic frontier analysis, which assumes that it is possible to parameterise the productive behaviour in the industry and data envelopment which is nonparametric. They each have their disadvantages.

Keywords: Stock Market; Data Envelopment Analysis; Financial Market; Stock Exchange; Technical Change (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:pal:palchp:978-0-230-21231-2_3

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DOI: 10.1057/9780230212312_3

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