The Falls of Niagara : being a complete guide to all the points of interest around and in the immediate neighbourhood of the great cataract with views taken from sketches by Washington Friend, and from photographs. --

Includes index.

Pen and sunlight sketches of scenery reached by the Grand Trunk Railway system and connections with summer routes and fares to principal points : including Niagara Falls, Thousand Islands, Rapids of the St. Lawrence, Montreal, Quebec, Parry Sound, Georgian Bay, Muskoka Lakes, Adirondacks, Lake St. John, Mackinac Island, Midland District Lakes, the White Mountains, the Suquenay River, Rangeley Lakes and the sea-shore.--

At head of title: "Great tourist route of America".

A compressed view of the points to be discussed, in treating with the United States of America : with an appendix /

Appendix: On the conduct of the government of United States towards the Indian tribes: p.[129]-139.

Turning points : meaning-making and its association with psychological well-being, academic achievement and parental relationship quality among adolescents

There is substantial research linking meaning-making ability and psychological well-being in the context of turning point events. Still, an important research question remains: whether individuals who report meaning-making and psychological well-being were already better adjusted psychologically, prior to the experience of their turning point. In addition, the role of meaning-making on academic achievement and parental relationship quality has received little empirical attention although both variables have been shown to be positively associated with positive adjustment among adolescents. This longitudinal study examined differences in psychological well-being, academic achievement, and parental relationship quality between adolescents who reported meaning-making (lessons or insights) and those who reported no meaning-making within their turning point narratives. Participants were 803 (52% female) grade 12 adolescents, 26% (N = 209) of whom had reported experiencing a turning point. Participants also completed measures on the outcome variables (psychological well-being, academic achievement, and parental relationship quality) 3 years prior, when they were in grade 9. MANOVA results indicated that, of the participants who experienced a turning point, adolescents who reported meaning-making reported significantly higher psychological wellbeing and more positive parental relationship quality than adolescents who reported no meaningmaking. Importantly, these two groups did not differ on the outcome variables prior to their experience of a turning point event when they were in grade 9. Academic achievement scores did not differ significantly between adolescents who reported meaning-making and those who reported no meaning-making. These findings highlight the importance of meaning-making in relation to positive adjustment subsequent to a turning point among adolescents.

Analysis of multiple change-points in normally distributed series.

Tesis (Maestría en Ciencias con Orientación en Matemáticas) UANL, 2013.

Genetics and Life Insurance in Canada: Points to Consider

Par contraste avec de nombreux pays européens qui ont clarifié leur position vis-à-vis la génétique et l’assurance vie, le Canada en est encore à établir la sienne. Toute initiative en ce domaine doit être basée sur une compréhension des mécanismes de l’assurance vie, de la nature de l’information génétique, de l’historique du débat au sujet de la génétique et de l’assurance vie au Canada et, finalement, des raisons pour lesquelles un groupe de travail canadien a décidé de relever le défi.

Asymmetric Smiles, Leverage Effects and Structural Parameters.

In this paper, we characterize the asymmetries of the smile through multiple leverage effects in a stochastic dynamic asset pricing framework. The dependence between price movements and future volatility is introduced through a set of latent state variables. These latent variables can capture not only the volatility risk and the interest rate risk which potentially affect option prices, but also any kind of correlation risk and jump risk. The standard financial leverage effect is produced by a cross-correlation effect between the state variables which enter into the stochastic volatility process of the stock price and the stock price process itself. However, we provide a more general framework where asymmetric implied volatility curves result from any source of instantaneous correlation between the state variables and either the return on the stock or the stochastic discount factor. In order to draw the shapes of the implied volatility curves generated by a model with latent variables, we specify an equilibrium-based stochastic discount factor with time non-separable preferences. When we calibrate this model to empirically reasonable values of the parameters, we are able to reproduce the various types of implied volatility curves inferred from option market data.

The Old Brewery, and the New Mission House at the Five Points

UANL

Aggregations and Marginalization of GARCH and Stochastic Volatility Models

The GARCH and Stochastic Volatility paradigms are often brought into conflict as two competitive views of the appropriate conditional variance concept : conditional variance given past values of the same series or conditional variance given a larger past information (including possibly unobservable state variables). The main thesis of this paper is that, since in general the econometrician has no idea about something like a structural level of disaggregation, a well-written volatility model should be specified in such a way that one is always allowed to reduce the information set without invalidating the model. To this respect, the debate between observable past information (in the GARCH spirit) versus unobservable conditioning information (in the state-space spirit) is irrelevant. In this paper, we stress a square-root autoregressive stochastic volatility (SR-SARV) model which remains true to the GARCH paradigm of ARMA dynamics for squared innovations but weakens the GARCH structure in order to obtain required robustness properties with respect to various kinds of aggregation. It is shown that the lack of robustness of the usual GARCH setting is due to two very restrictive assumptions : perfect linear correlation between squared innovations and conditional variance on the one hand and linear relationship between the conditional variance of the future conditional variance and the squared conditional variance on the other hand. By relaxing these assumptions, thanks to a state-space setting, we obtain aggregation results without renouncing to the conditional variance concept (and related leverage effects), as it is the case for the recently suggested weak GARCH model which gets aggregation results by replacing conditional expectations by linear projections on symmetric past innovations. Moreover, unlike the weak GARCH literature, we are able to define multivariate models, including higher order dynamics and risk premiums (in the spirit of GARCH (p,p) and GARCH in mean) and to derive conditional moment restrictions well suited for statistical inference. Finally, we are able to characterize the exact relationships between our SR-SARV models (including higher order dynamics, leverage effect and in-mean effect), usual GARCH models and continuous time stochastic volatility models, so that previous results about aggregation of weak GARCH and continuous time GARCH modeling can be recovered in our framework.