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Gary A. Raines - One of the best experts on this subject based on the ideXlab platform.
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do sales price and debt equity explain stock returns better than Book Market and firm size
Financial Analysts Journal, 1996Co-Authors: William C. Barbee, Sandip Mukherji, Gary A. RainesAbstract:During the 1979–91 period, the sales–price ratio and the debt–equity ratio had greater explanatory power for stock returns than either the Book–Market value of equity ratio or the Market value of equity. Furthermore, the sales–price ratio captures the role of the debt–equity ratio in explaining stock returns. Neither the Book–Market value of equity ratio nor the Market value of equity has consistent explanatory power for stock returns, and the sales–price ratio is a more reliable explanatory factor.
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Do Sales–Price and Debt–Equity Explain Stock Returns Better than Book–Market and Firm Size?
Financial Analysts Journal, 1996Co-Authors: William C. Barbee, Sandip Mukherji, Gary A. RainesAbstract:During the 1979–91 period, the sales–price ratio and the debt–equity ratio had greater explanatory power for stock returns than either the Book–Market value of equity ratio or the Market value of equity. Furthermore, the sales–price ratio captures the role of the debt–equity ratio in explaining stock returns. Neither the Book–Market value of equity ratio nor the Market value of equity has consistent explanatory power for stock returns, and the sales–price ratio is a more reliable explanatory factor.
Rosario N. Mantegna - One of the best experts on this subject based on the ideXlab platform.
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Trading activity and price impact in parallel Markets: SETS vs. off-Book Market at the London Stock Exchange
Quantitative Finance, 2012Co-Authors: Angelo Carollo, Gabriella Vaglica, Fabrizio Lillo, Rosario N. MantegnaAbstract:We study empirically the trading activity in the electronic on-Book segment and in the\ud dealership off-Book segment of the London Stock Exchange, investigating separately the\ud trading of active Market members and of other Market participants who are non-members.\ud We find that (i) the volume distribution of off-Book transactions has a significantly fatter tail\ud than that of on-Book transactions, (ii) groups of members and non-members can be classified in\ud categories according to their trading profile, (iii) there is a strong anticorrelation between the\ud daily inventory variation of a Market member due to on-Book Market transactions and an\ud inventory variation due to off-Book Market transactions with non-members, and (iv) the\ud autocorrelation of the sign of the orders of non-members in the off-Book Market is slowly\ud decaying. We also analyse the on-Book price impact function over time, both for positive and\ud negative lags, of the electronic trades and of the off-Book trades. The unconditional impact\ud curves are very different for the electronic trades and the off-Book trades. Moreover, there is a\ud small dependence of the impact on the volume for the on-Book electronic trades, while the shape\ud and magnitude of the impact function of off-Book transactions strongly depend on volume
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Trading activity and price impact in parallel Markets: SETS vs. off-Book Market at the London Stock Exchange
arXiv: Trading and Market Microstructure, 2011Co-Authors: Angelo Carollo, Gabriella Vaglica, Fabrizio Lillo, Rosario N. MantegnaAbstract:We empirically study the trading activity in the electronic on-Book segment and in the dealership off-Book segment of the London Stock Exchange, investigating separately the trading of active Market members and of other Market participants which are non-members. We find that (i) the volume distribution of off-Book transactions has a significantly fatter tail than the one of on-Book transactions, (ii) groups of members and non-members can be classified in categories according to their trading profile (iii) there is a strong anticorrelation between the daily inventory variation of a Market member due to the on-Book Market transactions and inventory variation due to the off-Book Market transactions with non-members, and (iv) the autocorrelation of the sign of the orders of non-members in the off-Book Market is slowly decaying. We also analyze the on-Book price impact function over time, both for positive and negative lags, of the electronic trades and of the off-Book trades. The unconditional impact curves are very different for the electronic trades and the off-Book trades. Moreover there is a small dependence of impact on the volume for the on-Book electronic trades, while the shape and magnitude of impact function of off-Book transactions strongly depend on volume.
Thomas S. Gruca - One of the best experts on this subject based on the ideXlab platform.
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The influence of pre- and post-purchase service on prices in the online Book Market
Journal of Interactive Marketing, 2004Co-Authors: Yong Cao, Thomas S. GrucaAbstract:We examine the ability of customer ratings of pre-purchase and post-purchase service to explain price variations in the online Book Market. In addition, we test whether Market leaders leverage their branding advantage by charging higher prices. E-tailer prices were modeled using a Market basket of identical Books whose posted prices were sampled repeatedly over a 4-month period. Contrary to expectations, posted prices were relatively constant across the time period that included a highly competitive 2000 holiday selling season. E-tailers whose customers were more satisfied with the level of post-purchase service charged significantly higher prices. Differences in satisfaction with pre-purchase service did not explain price differences across all e-tailers. The higher prices of the three Market leaders were most likely due to higher satisfaction ratings for both pre- and post-purchase satisfaction. We discuss the implications of these results for managers and academics.
Zhu Yin - One of the best experts on this subject based on the ideXlab platform.
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Grey Prediction of Science and Technology Book Market
Journal of Jiangsu University, 2002Co-Authors: Zhu YinAbstract:Books of science and technology have played an instrumental role in disseminating knowledge and helping enhance the growth of national economy. The publication and distribution of Books have also had something to do with the predication of Market. Several factors affect directly science and technology Book Market:difference of districts, difference between urban and rural areas, difference of the taste of the reader, modes f managment and channel of distribution, the quality and price of Books development of economy, policy implementation and change, and so on. Those factors make the prediction of Market extremely difficult. Having established prediction models and distinguishing parameters, this paper uses the theory of grep system to predict science and technology Book Market. The analysis and the computation of samples show that the prediction of formulas is quite valid and reasonable and the prediction suitable for science and technology Book Market. The method of prediction may also be applied to other types of Books.
Fang-fang Tang - One of the best experts on this subject based on the ideXlab platform.
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An Empirical Analysis on Pricing Patterns in China's Online Book Market
Journal of International Consumer Marketing, 2005Co-Authors: Yunhua Liu, Fang-fang TangAbstract:Abstract We compare the pricing behavior between online branches of traditional Bookstores and pure Internet Booksellers in China. We gathered a data set of 5616 observations and find that full prices (including shipping costs) by pure Internet retailers are significantly lower (¥1.41 or 6.4% on average) than those by online multi-channel retailers, yet they exhibit much greater price dispersions, two to three times by magnitude. Further, pure Internet Booksellers did not make price changes more frequently than online multi-channel retailers, as what one might expect. The evidence suggests that the online Book Market in China is still in the process of getting mature even for homogeneous goods such as Books. How the Market structure will be affected by the Internet Market technology still needs be observed.
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Hybrids vs. DotComs: some online pricing patterns in the South Korean Book Market
International Journal of Internet Marketing and Advertising, 2004Co-Authors: Fang-fang TangAbstract:Using a data set with 5760 price observations in the South Korean online Book Market, we compare the pricing behaviour between online branches of multi-channel retailers (MCRs) and online-only retailers. We find that: prices by online-only retailers are lower than prices by online MCRs by an average around 15%; the price dispersion for the random titles is significantly lower among the online-only retailers than that among MCR online; online-only retailers change prices much more often than online MCRs although prices by both types are few. The evidence suggests that the pricing efficiency diminishes as the multi-channel retailing format dominants the online retailing Market.