BUS552 How to Convert PPT to Video file on Windows 7

At CALMAT, professors sometimes asks us to post video presentations on YouTube. You can do so by using PPT and Windows Movie Maker. It takes a few steps on Windows XP. However, the same procedure cannot be applied on Windows 7.

Fortunately, the conversion on Windows7 was much simpler than the one on XP.
Only MS PowerPoint 2010 is necessary. (Windows Live Movie Maker was not needed at all!)
OS: Windows 7 (If XP, it's done in a different way)

 

1) Create PPT slides and add narration.
2) Save as "Windows Media Video."
3) Take a few minutes to create .wmv file. Just wait until it's done.
4) Upload .wmv file to YouTube (takes a few minutes)

Optionally, you can edit video or add background music using Windows Live Movie Maker. My point is, narration [deleted extra space] cannot be added through Live Movie Maker, so that [delete] you need to add it on PPT to create WMV file first.

 

- Narration volume can be adjusted by editing video menu through Live Movie Maker.
- Background music volume can be adjusted by editing music menu through Live Movie Maker.

• Note that YouTube supports the following format of video data to upload:

WebM
.MPEG4
.3GPP
.MOV
.AVI
.MPEGPS
.WMV
.FLV

• The file must be less then 15 minutes for free YouTube account 

It is up to you to create which format of the video file while here I would introduce you how to create .AVI file using a free screen capture tool for Windows.

1) Try downloading CamStudio: http://camstudio.org/

2) Launch CamStudio to capture a screen video
See this: http://youtu.be/QrfgciWI6PU

3) How to setup CamStudio to specify the directory to store the video file

See this: http://youtu.be/bdqEc1DiaWE

• The above method can be used to capture your Skype discussion as well.

• Secondary, I would recommend the following method for your PowerPoint presentation to put on the internet. (PowerPoint presentation only) http://ctcalmatmba.blogspot.com/2011/06/bus552-how-to-convert-ppt-to-video-file.html

Open Yale Lecture 11

Stocks

http://www.youtube.com/watch?v=Wj1GnT8xlj4&feature=BFa&list=EC8F7E2591EE283A2E

CLASS NOTES

Outstanding Share / You own shares è % ratio of owner ship

Split è (own shares) x split è To keep the value in a certain (reasonable) range i.e. $20-$40

Important Terms to understand:

·         Dilution

·         Dividend (Cash sent out to share holders)

·         Stock dividend è Not cash, no meaning for investors

For Profit Corporation exists for share holders (== make money for them)

Earnings per Share

Payout ratio = dividend/earning

Stock Repurchase

Liquidation/Sale of Co

Open Yale Lecture 10

Debt Markets: Term Structure

http://www.youtube.com/watch?v=kJogkN8Ep80&list=EC8F7E2591EE283A2E&index=10&feature=plpp_video

CLASS NOTES

Keys: Interest rate, bonds, discount bonds, coupon, inflation index bonds

Discount bond

Principal $100

Price (you pay) $100 – discount

Treasury build

P = 100 - 99.58 = 2.510 x 60 /360 Discount rate

2.563 = (1/.9958 -1) x 366/60 Investment rate

Bills <= 1 year

Notes 1-10 years

Bonds 10+ years

Bonds

Coupon C

Principal 100

Pay C/2 every 6 months

P = c/2(1/(R/2 ) – 1/(1 + R/2) ^ 2 + 1/R/2 + 100 * 1/(1+R/2) ^2T

Term Structure

FMI) A yield curve displaying the relationship between spot rates of zero-coupon securities and their term to maturity.

Read more: http://www.investopedia.com/terms/t/termstructure.asp#ixzz25Lv0P0nq

Price of time

Theory of Interest

Prof. Irving Fisher

Irving Fisher Diagram

Forward rate

1939 JR Hicks Invented

The forward rate is the future yield on a bond. It is calculated using the yield curve. 

Open Yale Lecture 8

Human Foibles, Fraud, Manipulation, and Regulation

CLASS NOTES:

Today’s topic was Regulation.

1.                Wishful thinking – i.e. Election, game, investment

2.                Attention Anomalies  - Social bases,

3.                Anchoring

4.                Representativeness Heuristic

5.                Gambling behavior

6.                Magical thinking   - BF Skinner

7.                Quasi Magical thinking  Shafir + Tversky

Temptations of Market

1.                Oversell

2.                Hide info

3.                Loyalty to friends

Regulation

Louis Brandeis

1914 Other people’s money

Disclosure of truth

ð  States “Blue Sky Laws”

1920s Telephone  spread

Boiler Rooms

1934 Securities  + Exchange Commission  (SEC)   

                        Business ßà SEC

William O Douglas

“Democracy and Finance” 1940  - Finance for people

Legal Realism

Public + Private Securities

Public Company à Must disclose info (Regulation by SEC.gov)  Edgar

Hedge Fund – Private investment company  -- Low profile

3C1

99 investors

Accredited investors

3C7

500 investors

Qualified purchasers

Insider + Outsider

Regulation FD - 2000 … Full Disclosure - SCC

Market Surveillance

Example

1995 IBM – Lotus … Insider trading

Financial Accounting regulation

Standard Board FASB - 1975

GAAP

Net Income

Operating income

Other Standards

Core earning

Pro form

EBITDA

Balance Sheet : Asset T Liabilities

Off-balance sheet accounting … Enron Corp

                … Remove risky investment from the balance sheet by putting them in balance sheet of child/dummy companies

SIV – Structured Investment Vehicles

SIPC

Securities Investor protection Corporation  - 1970

FDIC Fed Dep Ins Corp – 1934

Currently $100,000

Conclusion: Need to keep improving regulation to protect small investors.

Open Yale Lecture 7

Behavioral Finance: The Role of Psychology

http://www.youtube.com/watch?v=0ZLNbxWH8Lc&list=PL8F7E2591EE283A2E&index=7&feature=plpp_video

CLASS NOTES:

Newer revolution of finance

Behavioral finance = Reaction against to 1) Mathematical finance 2) Efficient market

Over confidence

Kahneman + Tversky

Prospect Theory  (1979)

How people make choices

Replaces Expected Utility Theory  

Weighting Function

Distort probability

Expected Util Theory çà Prospect Theory

Mental Compartment 

SUMMARY:

If coin is head – you get $200

If coin is tail – you pay $100

Probability 50% Gain > Loss

Would people buy the rotary ticket?

Today’s topic was behavioral finance.

The theory is replacing the previously presented theories such as 1) Math modeling of expected returns 2) Efficient market hypothesis – information based random algorithms

Behavioral finance theory in another word, prospect theory (Daniel Kahneman et all won Nobel Prize) claims that market behavior (decision making of buy-sell) is heavily incorporated with individual physiologic effect between returns and probability and then it can be modeled as a curve with a reference point. Figure 1 has the reference point in probability so the returns becomes flat after the point.

Cumulative prospect theory 

This is also by Kahneman. For the 2nd figure, buyers’ decision depends on prospect of probability/risk (individual feeling you might win or not) and return is not linear but discrete as shown.  The figure shows people seemed to over react for 2 extreme cases of probability but does not change reaction much for mid probabilities.

Open Yale Lecture 6

Efficient Markets vs. Excess Volatility

http://www.youtube.com/watch?v=pXJb29s3nmY&list=PL8F7E2591EE283A2E&index=6&feature=plpp_video


CLASS NOTES:

Efficient Markets:

Harry Roberts (1967)

Market price incorporated with:

Weak Form – info on past prices

Semi Strong – all public info

Strong – all info 

Random Walk Theory 

Random Walk Theory for Stock Market  - Karl Person

  Xt = Xt-1 + Et

  Et : Noise

  News (about values) appeared randomly so it creates fluctuation （noise） --> stock price up/down as random walk

The First Order Auto-regressive Model 

y = a+bx+u

è Forecast of Stock Market 

SUMMARY:


First the class talked about what is efficient market. (Market is a price of something. For instance, stock price) There are some definition historically but one talked was by Harry Roberts (1967). The theory models the types of information and based on them, efficient market is classified to weak, semi strong, and strong. For example, "Strong efficiency" is depends on all information available. Normally stock market is semi-strong (means depending on public info) 

Next the class discussed prediction (of price behavior in the market) as a security. 2 algorithms (math formulas) such as Random walk and Auto regression, were introduced and these theories has been not  only applied for economics but also applied to predict any natural random phenomenon under study. However in my opinion, the application of these theory seemed to be difficult and as professor Shiller himself said, not many are succeeded. (If easy, too many rich people?) This was one of HW for Yale students and I thought it is really hard -_-);;

Open Yale Lecture 5

Insurance 

http://www.youtube.com/watch?v=PhLjCfjpYeY&list=PL8F7E2591EE283A2E&index=5&feature=plpp_video

CLASS NOTES:

Insurance = A risk management device ßà security

Equity Premium Puzzle

Puscott + Mehra

(positive) 4% premium (US)

Selection Bias

Stock Market disruption                               Russia + China

Corporate profit tax, personal income tax

Dividends 90% WWII

15%

Risk Pooling -à Independent  x: num of accidents n: policies p: prob of accidents

F(x) = binominal distribution

Mean(x/n) = p

Sigma(x/n) = Root{p(1-p)/n}

Normal Approximation

Bell shape curve

Probability theory

Insurance as Invention

Contract design

Risks and Exclusions (moral hazard and selection bias)

Mathematical model

Corporate or Mutual

Government regulation

                Reserves

Classifying of Insurance companies

Multiline / Mono-line

Property + casualty $1.4 Trillion

                Automobiles >> home owners

Health

Life $4.9 Trillion 

SUMMARY:

The concept of insurance was invented as early in 17C. Now a day the concept became very important to secure one's family and properties, but its growth has been very slow. The problem was mainly in early history, insurance companies could not sell their products to the customers (especially life insurance was rejected, was thought bad luck? Did not sound right, etc.). So historically insurance companies’ efforts were 1) how to convince customers in nice way 2) how to prevent from canceling. Eventually they developed more attractive policies such as the insurance with cash values.