Multimarket trading and market liquidity

When a security trades at multiple locations simultaneously,an informed trader has several avenues in which to exploit hisprivate information. The greater the proportion of liquiditytrading by 'large' traders who can split their trades acrossmarkets, the larger is the correlation between volume in differentmarkets and the smaller is the informativeness of prices. Weshow that one of the markets emerges as the dominant locationfor trading in that security. When informed traders can usetheir information for more than one trading period, the timelyrelease of price information by market informed traders expectto make subsequently at other locations. Markets makers, competingto offer the lowest cost of trading at their location, consequentlydeter informal trading by voluntarily making the price informationpublic and by 'cracking down' on insider trading.     

Correlations in price changes and volatility across international stock markets

The short-run interdependence of prices and price volatilityacross three major international stock market is studied. Dailyopening and closing prices of major stock indexes for the Tokyo,London, and New York stock markets are examined. The analysisutilizes the autoregressive conditionally heteroskedastic (ARCH)family of statistical models to explore these pricing relationship.Evidence of price volatility spillovers from New York to Tokyo,London to Tokyo, and New York to London is observed, but noprice volatility spillover effects in other directions are foundfor the pre-October 1987 period.     

The Impact of Market Imperfections on Real Estate Returns and Optimal Investor Portfolios

This study investigates the consequences of several imperfections associated with real estate markets on pricing and optimal investor portfolios from a CAPM context. CAPM assumptions are relaxed to recognize illiquidity, the consumption and investment attributes of owner-occupied housing, and a mildly segmented market structure. The study finds that relaxing the CAPM assumptions lead to a separate pricing paradigm for financial assets, income-producing real estate and owner-occupied housing respectively, that a "dividend effect" arises for real estate as the result of illiquidity, and that illiquidity reduces the extent to which investors hold real estate in their portfolios.     

Putting your company's whole brain to work

Innovate or fall behind: the competitive imperative for virtually all businesses today is that simple. Responding to that command is difficult, however, because innovation takes place when different ideas, perceptions, and ways of processing and judging information collide. And it often requires collaboration among players who see the world differently. As a result, the conflict that should take place constructively among ideas all too often ends up taking place unproductively among people. Disputes become personal, and the creative process breaks down. The manager successful at fostering innovation figures out how to get different approaches to grate against one another in a productive process the authors call creative abrasion. The authors have worked with a number of organizations over the years and have observed many managers who know how to make creative abrasion work for them. Those managers understand that different people have different thinking styles: analytical or intuitive, conceptual or experiential, social or independent, logical or values driven. They deliberately design a full spectrum of approaches and perspectives into their organizations and understand that cognitively diverse people must respect other thinking styles. They set ground rules for working together to discipline the creative process. Above all, managers who want to encourage innovation need to examine what they do to promote or inhibit creative abrasion.     

Robust Dickey–Fuller tests based on ranks for time series with additive outliers

In this paper the unit root tests proposed by Dickey and Fuller (DF) and their rank counterpart suggested by Breitung and Gouriéroux (J Econom 81(1): 7–27, 1997) (BG) are analytically investigated under the presence of additive outlier (AO) contaminations. The results show that the limiting distribution of the former test is outlier dependent, while the latter one is outlier free. The finite sample size properties of these tests are also investigated under different scenarios of testing contaminated unit root processes. In the empirical study, the alternative DF rank test suggested in Granger and Hallman (J Time Ser Anal 12(3): 207–224, 1991) (GH) is also considered. In Fotopoulos and Ahn (J Time Ser Anal 24(6): 647–662, 2003), these unit root rank tests were analytically and empirically investigated and compared to the DF test, but with outlier-free processes. Thus, the results provided in this paper complement the studies of the previous works, but in the context of time series with additive outliers. Equivalently to DF and Granger and Hallman (J Time Ser Anal 12(3): 207–224, 1991) unit root tests, the BG test shows to be sensitive to AO contaminations, but with less severity. In practical situations where there would be a suspicion of additive outlier, the general conclusion is that the DF and Granger and Hallman (J Time Ser Anal 12(3): 207–224, 1991) unit root tests should be avoided, however, the BG approach can still be used.     

Financing health care

This article reviews the causes of growth in health care costs and concludes that only changes in the rate of growth in intensity of care are likely to be effective. It proposes a model of consumer choice (with advice) among health plans, and competition among plans on the basis of the rate at which new technology is introduced, as a solution to the problem of picking the appropriate rate. It argues that the existence of the uninsured is evidence of government failure.     

Aging and social expenditures in Italy: some issues associated with population projections

"After describing the main results of the recent Italian population projections, and some possible consequences...aging may have on social expenditures, this paper focuses on attempts to improve the accuracy of development assumptions, with special regard to natural components. Emphasis is placed on the importance of applying specific methodological tools to define self-explanatory assumptions for fertility and mortality and to produce projections which could be considered, with reasonable limitations, as real forecasts."     

Claims frequency modeling using telematics car driving data

We investigate the predictive power of covariates extracted from telematics car driving data using the speed-acceleration heatmaps of Gao, G. & Wüthrich, M. V. [(2017). Feature extraction from telematics car driving heatmaps. SSRN ID: 3070069]. These telematics covariates include K-means classification, principal components, and bottleneck activations from a bottleneck neural network. In the conducted case study it turns out that the first principal component and the bottleneck activations give a better out-of-sample prediction for claims frequencies than other traditional pricing factors such as driver's age. Based on these numerical examples we recommend the use of these telematics covariates for car insurance pricing.