OK CancelSee the Full List of Stocks To Beat EarningsZacks Earnings ESP (Expected Surprise Prediction) looks to find companies that have recently seen positive earnings estimate revision activity.
The idea is that more recent information is, generally speaking, more accurate and can be a better predictor of the future, which can give investors an advantage in earnings season. The technique has proven to be very useful for finding positive surprises.
Visit the Earnings ESP CenterSee the Full List of Stocks To Beat Earnings Earnings ESP (Expected Surprise Prediction) is a potent tool that investors can use to select better stocks for their portfolios. You can learn more about this concept here in our Earnings ESP Education Center: Stay informed of all important earnings trends and events for your stocks by setting up a portfolio tracker on Zacks.
Best of All, you can also get a free Daily update email that tells you in a snapshot all relevent activity with the stocks you follow. Learn More About My Portfolio TrackerOne of the most important steps you can take today is to set up your portfolio tracker on Zacks. This dedication to giving investors a trading advantage led to the creation of our proven Zacks Rank stock-rating system.
These returns cover a period from 1988-2016 and were examined and attested by Baker Tilly Virchow Krause, LLP, an independent accounting firm. Zacks Rank stock-rating system returns are computed monthly based on the beginning of the month and end of the month Zacks Rank stock prices plus any dividends received during that particular month.
A simple, equally-weighted average return of all Zacks Rank stocks is calculated to determine the monthly return. The monthly returns are then compounded to arrive at the annual return. Only Zacks Rank stocks included in Zacks hypothetical portfolios at the beginning of each month are included in the return calculations. Zack Ranks stocks can, and often do, change throughout the month. Certain Zacks Rank stocks for which no month-end price was available, pricing information was not collected, or for certain other reasons have been excluded from these return calculations.
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Forgot Password Create a New Account Close this window googletag. If you wish to go to ZacksTrade, click OK. If you do not, click Cancel. Visit the Earnings ESP Center See the Full List of Stocks To Beat Earnings 4 Tech Stocks Likely to Outperform This Earnings Season Enrich Your Portfolio With 5 Food Stocks Set to Beat Earnings Will Soft Comps Hurt Cheesecake Factory (CAKE) Q3 Earnings.
Sherwin-Williams (SHW) Q4 Earnings: What's in the Cards. Real time prices by BATS. Delayed quotes by Sungard. NYSE and AMEX data is at least 20 minutes delayed.Kia k5 0-60 1.6
NASDAQ data is at least 15 minutes delayed. Space weather refers to changes in the space environment, particularly the region between the Earth and Sun. The "solar wind" from the Sun stream past the Earth and is mostly deflected by the Earth's magnetic field, but variations in the solar wind cause changes in the Earth's magnetic field.Our thoughts are just thoughts.
Your breath is a powerful and simple way to anchor yourself in the present moment. Whenever you are having a hard time staying in the now, take deep breaths, and focus on your breathing. You could even count your breaths. Something I like to do is count to four on the inhale and four on the exhale. It focuses the logical part of my brain on counting and allows me to focus on my breath. After a while I can release the crutch of counting and just be.
In fact, they are rarely right, especially if they make you feel bad.
Question your thoughts constantly. When you start to feel negative emotions, use it as a reminder to examine what thoughts are causing the commotion. Most people walk around all day letting negative thoughts cause negative feelings. We both know that nothing good can come out of this. It takes discipline to be mindful, but the rewards are peace and happiness. Even researchers are discovering the power of emotions.
Negative emotions not only have the power to make you feel bad, but can affect your physical health as well. Another great way to stay anchored in the now is to use reminders.
It can be as simple as tying a white string around your wrist. Each time you look at the white string, you are reminded of the present moment.
Are you in the now, or are you somewhere else. There are no limits to what you can use as a reminder. If you want to take this even further, you can add a new reminder each week. Start using external reminders such as red cars, billboards, and so on.Other Related Data Analysis Techniques.
Although for exploratory data analysis, breakdowns can use more than one independent variable, the statistical procedures in breakdowns assume the existence of a single grouping factor (even if, in fact, the breakdown results from a combination of a number of grouping variables). Thus, those statistics do not reveal or even take into account any possible interactions between grouping variables in the design.
For example, there could be differences between the influence of one independent variable on the dependent variable at different levels of another independent variable (e. You can explore such effects by examining breakdowns "visually," using different orders of independent variables, but the magnitude or significance of such effects cannot be estimated by the breakdown statistics. Post-Hoc Comparisons of Means. Usually, after obtaining a statistically significant F test from the ANOVA, one wants to know which of the means contributed to the effect (i.
One could of course perform a series of simple t-tests to compare all possible pairs of means. However, such a procedure would capitalize on chance. This means that the reported probability levels would actually overestimate the statistical significance of mean differences.
Without going into too much detail, suppose you took 20 samples of 10 random numbers each, and computed 20 means. Then, take the group (sample) with the highest mean and compare it with that of the lowest mean. The t-test for independent samples will test whether or not those two means are significantly different from each other, provided they were the only two samples taken.
Post-hoc comparison techniques on the other hand specifically take into account the fact that more than two samples were taken. Technically, it determines a linear combination of the dependent variables that best predicts the group membership. Another related type of analysis that cannot be directly performed with breakdowns is comparisons of frequencies of cases (n's) between groups. Specifically, often the n's in individual cells are not equal because the assignment of subjects to those groups typically results not from an experimenter's manipulation, but from subjects' pre-existing dispositions.
If, in spite of the random selection of the entire sample, the n's are unequal, then it may suggest that the independent variables are related. For example, crosstabulating levels of independent variables Age and Education most likely would not create groups of equal n, because education is distributed differently in different age groups.
If you are interested in such comparisons, you can explore specific frequencies in the breakdowns tables, trying different orders of independent variables. However, in order to subject such differences to statistical tests, you should use crosstabulations and frequency tables, Log-Linear Analysis, or Correspondence Analysis (for more advanced analyses on multi-way frequency tables).
Graphs can often identify effects (both expected and unexpected) in the data more quickly and sometimes "better" than any other data analysis method. Categorized graphs allow you to plot the means, distributions, correlations, etc. The graph below shows a categorized histogram which enables you to quickly evaluate and visualize the shape of the data for each group (group1-female, group2-female, etc.
The categorized scatterplot (in the graph below) shows the differences between patterns of correlations between dependent variables across the groups. Additionally, if the software has a brushing facility which supports animated brushing, you can select (i.This means that prizes for the winners are not fixed, they depend on the whole income of the game, on the payout percentage and on the number of winners in the different prize categories.
Sports betting terminologySports betting is a very important part of the gambling industry. Oddset terminologyOddset is sports betting with fixed odds where you compete against the betting operator.
Correct scoreThis is predicting the score at the end of the normal game-time. First goal scorerThis is to predict who will score the first goal in the match. Handicap bettingThis is often used when there is a big favourite. Normal time definition for betsAlmost all bet types are based on what is happening in the normal time. Cyber Insurer and Broker Assembly will help understand the ever-evolving exposures, to offer your clients the best prevention and protection against attack.
Don't miss out - follow our events. He finds out how, with expertise and effort, cyber policies can be explained and sold to clients. The Chief Medical Officer will provide clinical and regulatory advice and direction to the Underwriting and Claims departments. Star Actuarial, in conjunction with a major insurer, is seeking a part-qualified life actuary to join its retirement division where you will provid. View all jobs Directory Research My account Saved articles Following topics Newsletters Apps Account details Contact support Sign out Sign in Follow us RSS Twitter LinkedIn Newsletters Facebook Apps Register Welcome You are currently accessing Insurance Age via your Enterprise account.
If you already have an account please use the link below to sign in. If you have any problems with your access or would like to request an individual access account please contact our customer service team. This was in stark contrast to the predictions for Q2 in which every underwriter stated there would be no change in rates for this type of cover. Competitive Salary Plus Excellent Benefits, Manchester Cheif Medical Officer The Chief Medical Officer will provide clinical and regulatory advice and direction to the Underwriting and Claims departments.
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Recent Posts Festool to Start Manufacturing FS Guide Rails in the US Milwaukee High Demand 9. Are Single Battery 110V Power Inverters Coming Down the Pipeline. Founded in 1993 by brothers Tom and David Gardner, The Motley Fool helps millions of people attain financial freedom through our website, podcasts, books, newspaper column, radio show, and premium investing services.Each exponentiated coefficient is the ratio of two odds, or the change in odds in the multiplicative scale for a unit increase in the corresponding predictor variable holding other variables at certain value.
Here is an example. In all the previous examples, we have said that the regression coefficient of a variable corresponds to the change in log odds and its exponentiated form corresponds to the odds ratio. This is only true when our model does not have any interaction terms. The interpretation of the regression coefficients become more involved.
In this simple example where we examine the interaction of a binary variable and a continuous variable, we can think that we actually have two equations: one for males and one for females. Now we can map the logistic regression output to these two equations. More explicitly, we can say that for male students, a one-unit increase in math score yields a change in log odds of 0.3406 cat engine for sale canada
On the other hand, for the female students, a one-unit increase in math score yields a change in log odds of (. In terms of odds ratios, we can say that for male students, the odds ratio is exp(. The ratio of these two odds ratios (female over male) turns out to be the exponentiated coefficient for the interaction term of female by math: 1.
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Introduction When a binary outcome variable is modeled using logistic regression, it is assumed that the logit transformation of the outcome variable has a linear relationship with the predictor variables.
From probability to odds to log of odds Everything starts with the concept of probability. We can examine the effect of a one-unit increase in math score. We can say now that the coefficient for math is the difference in the log odds. Logistic regression with multiple predictor variables and no interaction terms In general, we can have multiple predictor variables in a logistic regression model. Logistic regression with an interaction term of two predictor variables In all the previous examples, we have said that the regression coefficient of a variable corresponds to the change in log odds and its exponentiated form corresponds to the odds ratio.
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WI-Grn Bay (Spread)Wichita St at Oklahoma St (Total)Pepperdine vs. Lg Beach St (Total)Central Mich vs. TN Tech (Total)San Diego St vs. California (Total)Ohio State vs.The same goes for bets placed on the first half of a game. The tout has to load a full-game play and then specify in the write-up that it is not for the whole game. If these are incorrectly graded as wins, the tout has to ask tech support to manually re-grade the play.
I found plenty of examples where touts never amended winners to losers, or they did so only after pressure from Contrarianville. On October 10, 2015, for instance, Fezzik sold a first-half college football bet on Miami, a four-point underdog. Miami covered the full-game spread, however, so the Pregame system incorrectly auto-graded the first-half play as a win.
They were actually two-point favorites. There had been no move. I was probably a career 55-percent capper over there. Stephen Nover, a former Las Vegas newspaperman and radio host, has done exactly that at Pregame on at least 41 picks, according to the Pregame data and a pick-by-pick analysis of one watchdog.
In June 2014, Nover released a bet on Giants-Padres at 1:46 in the morning Pacific Time. Five hours earlier, sportsbooks had taken the game off the board because of the scratch of one of the starting pitchers.
Selling picks in six or more sports, plus different bets in each, plus the ability to segregate plays by the number of units, gives touts dozens of options from which to advertise on any given day. So the more touts an operation can employ, the more chances it has of digging up streaks to push. Few outfits are as large as Pregame.
We wanna create special packages around that level of hotness. He saw that his talents lay in selling those who sell picks. After he graduated from Ohio State University, Bell has claimed, he was accepted into Harvard Law School but passed it up and moved to Las Vegas instead. An oft-repeated claim by Bell is that he graduated valedictorian of his class with a Finance degree.
According to the university, Bell graduated summa cum laude with a B. Bell was a recipient of a Pace Setter award, which honors top business students. He said he has now removed it. If he was able to earn a living as a full-time bettor, his performance as a pick-seller at Pregame offers little support. Bell sold 30 picks from October 2008 through March 2010. Eight months after his final sale, he came out of retirement to offer a freebie in college-football: Army as an eight-point underdog against Notre Dame.HAPPY ANNIVERSARY to my dearest HUSBAND - Wedding Anniversary wishes for husband - Fusion with Fuse
Before launching Pregame, Bell offered free picks. But where was the money in that. His NCAA domain squatting may offer a hint: The real profit was in lucrative referral deals with offshore sportsbooks. Bettors signed up for free picks, and Bell accumulated a massive database of names and email addresses that he could sell to sportsbooks. According to a Pregame advertising kit circa 2010, the average Pregame and FPBE user was a fairly avid bettor who played at multiple books.I am now confident that I can use R and continue learning on my own.
The course also helped me to explore other resources within the R community online. I'm looking forward to using R in data analysis for my masters thesis and beyond.
The two instructors are to be congratulated in putting together a jewel of a short course, one of my very favorite among the many I have taken at Statistics. The discussion with such experts was particularly valuable and greatly enhanced the value of the course. If there were an extension to this course, I would gladly take it. I felt this class did a good job of reinforcing concepts and their application, and not getting caught up in the algorithms.
The TA feedback was invaluable to me. There are many things I like about your educational product. You include variety, such as the videos, the homework, the quizzes, the textbook, and the discussion board. You have well-thought out curriculum that shows a respect for good pedagogy. Your instructors are amazing. They are brilliant, and they respond very quickly. You apply real-world needs to the material being taught instead of having students memorize formulas or be confined within an academic-only practice of modeling.
I realized that I deal with statistics every day.
We covered issues that pertain to real life and I now feel I have knowledge about important issues I was previously unaware about. Overall, the instructor and the assistant instructors were responsive and helpful.
The homework grading was done in a timely way and the model answers were helpful. All in all, I learned a lot and am eager to practically apply these strategies. This was a real eye-opener to me. In short, a real joy to follow this course and be part of this learning process. It also helped me to see links I didn't see before where I could use different methods to improve upon organizations.
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