I want to understand the use of Beta for financial analysis
129643
Beta is how much a stock moves compared with to the general market.  Its most common use off the top of my head is for calculating risk premiums to get a proper discount rate.  The different constants for WACC use the risk free rate added to beta multiplied by a risk premium.
550700
The market risk premium is the same for every company. Usually between 4% and 7%. The beta changes to adjust for security risk.
674490
There r many types of models. AR, MA, ARMA, ARIMA, ARCH, GARCH, and lots of other which names I cannot recall. For the prediction to be of any use, the correct model must be used.\n\nAssume u have decided which model to use, u now need to estimate the parameters. The idea is simply to choose the parameter to produce the smallest possible deviation of the model and the data.\n\nYou said u used Excel. so, i guess the method u used is simply trial and error. u try a range of values for the parameters and then pick the best one.\n\nYou want to do it by hand. This is extremely tedious. One way to do it is simply to do the thousands of calculations by hand and compare. Another way to do it is by taking derivatives.\n\nThe idea is simple. u have a model with certain parameter. Say, X(t+1)=aX(t)+et is your model where e is the random component with E(e)=0. So, your forecast of X(t+1) given information up to time t is X(t+1, forecast)=aX(t). The error of your forecast is know when at time t+1 when X(t+1) happens. So, the forecast error is X(t+1, real)-X(t+1, forecast)=(aX(t)+et) - aX(t) = et\n\nYou do this for a few t's and u collect a bunch of et's for these t's. You then square the et's and sum them and call it S.\n\nSt=(e1)^2 +(e2)^2 +e3)^2 +....+(et)^2\n=(X(1)-aX(0))^2 +(X(2)-aX(1))^2+.....\n\n (squaring them is simply to remove the sign of the et's. There r other ways, for example, |et|). You want to pick an 'a' that minimise S. To get this a, take the first derivative of S wrt a and equate it to 0.\n\ndS/da = 0\n\nSolve the equation to find possible values of a.\n\nTake the second derivative of S,\n\nd(dS/da)/da. Substitute possible values of 'a' into it. Those 'a' that make d(dS/da)/da<0 is the local point of maximum. To get the largest maximum, simply substitute these a into St to to find the one that gives the lowest St. This will be your best estimate of parameter.\n\nHowever, when u have more than 1 parameter, thing can get complicated. u would have more than 1 equation to solve and sometimes, u need to use numerical methods to solve them.... which will require the use od Excel again!\n\n\nAs for forecasting... it depends on what model u r using. Generally, for those values u have not observe, u simply use the forecast.\n\nSay, you have a model that uses t-1, t-2 and t-3 to forecast t.... the history for past 3 periods. So, at time t, if u want to forecast X(t+1), u simply pluck in the observed X(t), X(t-1) and X(t-2): {Forecast of X(t+1) at time t }=F{X(t), X(t-1), X(t-2)}...where F denotes a function.\n\nSimilarly, if u want to forecast X(t+3) at time t, u have {Forecast of X(t+3) at time t} = F{X(t+2,forecast), X(t+1, forecast), X(t)}. Or u want to forecast, say, t+100, {Forecast of X(t+100) at time t} = F{X(t+99,forecast), X(t+98, forecast), X(t+97, forecast)}. Hope u know what I mean.\n\nThe difference between a forecast X(t, forecast) and a realisation in the real world X(t) is the random conponent. Without much information, all I can do is to use my best knowledge(the parameter and correct model) to forecast ahead. But as time goes by and i gather more data, I'll reset and improve my prediction everytimes I get more info. So, to predict how long u will need for the process to reach a certain level, u simply use the model(the formula), substitute the X(t) with data u observed(if it's observed already) and forecasted(if has not happened). Let the model evolve until it reach your required level, N. Then look at what the t is.. then this is the best estimate of how long it takes.\n\nIf u make assumption about the distribution(s) of et's, the random conponent, u can even predict probabilities of the accuracy of your predictions. And also, the estimated parameters has uncertainty in them too, and taking these into account, u can calculate the probability of your forecast being right, allowing for the random fluctuation et and sampling error of estimating parameters.
208278
'John Blaze' is full of sh*t; you don't need $25K to daytrade. Open a brokerage account. Study John Murphy, "Technical Analysis of the Financial Markets". Don't trust money managers; they will rip you off. Take control of your money. Find a stock that has huge price swings daily or weekly such as Juniper Networks or Redback Networks. These are high 'beta' stocks. Depending on your age, part of your portfolio should be speculative. If you are in your 20s and your portfolio is less than 100K, then definitely you should be using your knowledge and investing in high beta stocks to profit greatly from their daily and weekly price swings. You have the years to do that. 'Short' the stock when it goes down, and go 'Long' when it goes up. As your portfolio grows to a couple Mil or so, then you can pull back and put some of it in stuff that is a little lower beta such as the QQQ. As an example of how well you can do by taking control of your money: if just do your normal 1% per day on that 100K porfolio over a year through profiting from the swings, how much would you have after one year? You got it my friend, way over $$$1Mil!! Give it whorl, go for it!
227907
The first uses financial and economic analysis to try and predict the movement of prices.  This could be the general economic data, earnings reports, industry reports, and so on.\n\nThe second uses the time series data of the price and volume and similar things.  It's like staring at the chart of prices and predicting what will happen in the future.  The assumption is that there are patterns in the data.
28237
try looking at the india stockmarket homepage, they have analysis tools available to do your research.
461215
There are so many web sites are there to learn abt technical analysis.refer that charts and u u will come to understand abt the technicals.\nThe best site that5 i m using is www.alaron.com,www.barchart.com,\nwww.litwick.com,www.saxobank.com.\n\n\nso reffer these charts.if u not able to udrestand abt the technicals,just mail me ur questions to my e mail id   \nid is bhaskar0072003@yahoo.com.\nabt jobs u can visit to any of the stock broking websites.
279926
http://dhvrm.blogspot.com/2006/04/what-is-beta-testing.html
90781
chartereted financial analysist(u.s.a.
299184
Go to Yahoo Finance, Detailed Charts, then pick your closing dates.
512452
Look at the balance sheet
166280
If i remember correctly, the Beta coefficient measures correlation.  Thus, you can use it to discuss how market factors affect the stock price of your company.  If the market is volatile and the company's movement is highly correlated, the company must implement actions that could hedge or protect against these fluctuations.
585512
NO,personally beta programs to me mean (bugs) issues,flaws,glitches etc..wait until its released for commercial use
544931
Look up stock symbol  BBBB\nThey have evrything.
49290
Why not look at the stocks and shares of two large companies over a period of months/years. use statistical approaches (moving averages etc.) and forecast the following years trend. compare and contrast the percentage increases/decreases and investigate where a consumers money would be best spent.\nhope this is useful. you didn't state what year of your Bsc this was for.
636594
ok, going from memory\n\n\nc)analyze business transactions\ne) journalize\ni) post to ledger accounts\nd) prepare a trial balance\nh)journalize and post adjusting enteries\nb) prepare an adjusted trial balance\nf)journalize and post closing enteries\na) prepare a post closing trial balance\ng)prepare financial statements
104934
Chart:\n\nhttp://finance.yahoo.com/q/bc?s=%5EIXIC&t=my\n\nData:\nhttp://finance.yahoo.com/q/hp?s=%5EIXIC&a=00&b=1&c=1999&d=02&e=9&f=2006&g=d