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Free Ebooks How to Develop A SUPER-POWER MEMORY

Submitted by acrobat on Wed, 08/20/2008 - 02:28

Imagine you are taking a crucial exam and suddenly you forget some major facts! Or you are at a business meeting and the name of the all-important client escapes your mind! Memory can turn the tide in your favour, or against it.
Now with this book tap into your most precious resource and unleash the natural powers within you. This book shows how to remember names, faces, facts and a plethora of details the average person encounters each day. The work covers:

How Keen Is Your Observation?
Does what you see register in your mind? Which light is on top of the traffic light? Is the number six on your watch dial, the Arabic #6 or is it the Roman #VI? Other observation questions. The importance of observation in memory.
Download Free Ebooks How to Develop A SUPER-POWER MEMORY
Habit Is Memory
There is no such thing as a poor memory, only a trained or untrained one. There is no limit to the capacity of the memory. Lucius Scipio was able to remember the names of all the people of Rome; Seneca could memorize and repeat two thousand words after hearing them once.

Test Your Memory
If you can remember any one thing by association, you can do it with anything else. A series of tests for you to take now to indicate how limited your untrained memory is.

Interest in Memory
The first step is to be interested in remembering names, faces, dates, figures, facts—anything, and that you have confidence in your ability to retrain them.

Link Method of Memory
What the Link Method is. Use this method of associating ridiculous mental images with items you want to remember. Start to remember as you've never remembered before.

Peg System of Memory
The Peg System helps you associate and remember numbers. You can learn to remember 52 items by number, in and out of order.

Uses of the Peg and Link Systems
Start with remembering a Shopping List and Daily Errands. From this you will go on to more difficult feats.

How to Train Your Observation
Test yourself (and your friends) on a "trick" sign. How to sharpen and develop your observation abilities.


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Ebook Estimating Structural Bond Pricing Models via Simulated Maximum Likelihood

Submitted by wulan on Mon, 03/08/2010 - 08:32

In 1974, Merton wrote a seminal paper (Merton 1974) that explained how the then recently presented Black-Scholes model could be applied to the pricing of corporate debt. Many extensions of this model followed. This family of models is sometimes referred to as the family of structural models of corporate bond prices, and views prices of corporate debt and equity as portfolios of options on the fundamental value or asset value of the firm. Extensions of the original model relate to e.g. sub-ordination arrangements, indenture provisions and default before maturity (Black and Cox 1976), coupon bonds (Geske 1977), stochastic interest rates (Shimko, Tejima, and van Deventer 1993, Longstaff and Schwartz 1995) or an optimally chosen capital structure (e.g. Leland 1994), to name but a few.

Structural models have found applications in risk management, (e.g. the KMV EDFTM methodology Crosbie and Bohn 2002), in central banks (Gropp, Vesala, and Vulpes 2002), or in pricing (e. g. the CreditGradesTM model, Finger et al. 2002).


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Ebook Managerial Optimism and Earnings Smoothing

Submitted by wulan on Sat, 04/03/2010 - 07:25

A well-known stylized fact in the literature is that managers engage in earnings smoothing: they report earnings that are sometimes higher than economic earnings and sometimes lower (see, e.g., Beidleman, 1973; Lev and Kunitzky, 1974; Ronen and Sadan, 1981, Hand, 1989; Barth, Elliott, and Finn, 1999; Goel and Thakor, 2003; Leuz, Nanda, and Wysocki, 2003; Lang, Raedy, and Wilson, 2006; and Myers, Myers, and Skinner, 2007).

Recent survey evidence provides further confirmation that managers actively smooth earnings, as evidenced by a quote from an interviewed CFO: “businesses are much more volatile than what their earnings numbers would suggest” (Graham, Harvey, and Rajgopal, 2005). However, the degree of earnings smoothing varies in the cross section of firms. This has led to research that has uncovered several factors that help explain cross-sectional variations in earnings smoothing.


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