This document discusses various methods that businesses can use to analyze markets, including market analysis, moving averages, extrapolation, and correlation. Market analysis examines key features of a market like size, value, growth, and competition. Moving averages smooth out fluctuations in data to identify underlying trends that can help predict future trends. Extrapolation uses past and present data trends to predict future trends, while correlation establishes the strength of relationships between variables. Businesses can also use their own marketing data through methods like primary research, test marketing, and information technology to help analyze markets and inform strategies.
CM Research Corporate Presentation 2014CM Research
Analysing Global Trends in Technology, Media and Telecoms
Our corporate presentation explains how we help CEOs, CTOs and CIOs predict the future of technology, media and telecoms.
CM Research Corporate Presentation 2014CM Research
Analysing Global Trends in Technology, Media and Telecoms
Our corporate presentation explains how we help CEOs, CTOs and CIOs predict the future of technology, media and telecoms.
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Investigation of Frequent Batch Auctions using Agent Based ModelTakanobu Mizuta
Recently, the speed of order matching systems on financial exchanges increased due to competition between markets and due to large investor demands. There is an opinion that this increase is good for liquidity by increasing providing liquidity of market maker strategies (MM), on the other hand, there is also the opposite opinion that this speed causes socially wasteful arms race for speed and these costs are passed to other investors as execution costs.
A frequent batch auction (FBA) which reduces the value of speed advantages proposed, however, is also criticized that MM providing liquidity are exposed to more risks, and then they can continue to provide liquidity, then many MM retire, and finally liquidity will be reduced.
In this study we implemented a price mechanism that is changeable between a comparable continuance double auction (CDA) and FBA continuously, and analyzing profits/losses and risks of MM, we investigated whether MM can continue to provide liquidity even on FBA by using an artificial market model.
Our simulation results showed that on FBA execution rates of MM becomes smaller and this causes to reduce liquidity supply by MM. They also suggested that on FBA MM cannot avoid both an overnight risk and a price variation risk intraday, furthermore, it is very difficult that MM is rewarded for risks and continues to provide liquidity. Only on CDA MM is rewarded for risks and continue to provide liquidity.
This suggestion implies that MM that can provide liquidity on CDA cannot continue to provide liquidity on FBA and then many MM retire, finally liquidity will be reduced.
1) How would you define statistics How is statistics used in bu.docxSONU61709
1) How would you define statistics? How is statistics used in business decision making? Statistics is accurately defined as the study of the analysis, data collection, and organization of the data which is interpreted by a particular business field.
2) What is the importance of statistics in business decision making? Describe a business situation where statistics was used in making a decision.
3) The yield on a 30-year treasury note at the end of each year since 1990 is recorded below.
Compute a five-year (1) moving average and (2) weighted moving average using weights of .1, .1, .2, .3, and .3, respectively.
Describe the trend in yield both in
1. narrative form and
2. graphical form (see if you can place all the moving averages in one graph -- good for comparison).
year
yield
5 yr.
moving
avg
5 yr.
weighted
moving avg
1990
8.61
1991
8.14
1992
7.67
1993
6.59
1994
7.37
1995
6.88
1996
6.71
1997
6.61
1998
5.58
1999
5.87
2000
5.94
2001
5.49
2002
5.43
4) Correlation & Regression Equation:
1. discuss what is meant by "coefficient of correlation" and "coefficient of determination." What are these, what do they measure, what do you know when you have these numbers?
2. why and how should you test for the significance of the coefficient of correlation?
Assets Return
Sample Mutual Fund ($ millions) (%)
1
AARP
622.2
10.8
2
Babson
160.4
11.3
3
Compass
275.7
11.4
4
Galaxy
433.2
9.1
5
Keystone
437.9
9.2
6
MFS Bond A
494.5
11.6
7
Nichols
158.3
9.5
8
T Rowe
681
8.2
9
Thompston
241.3
6.8
The table above contains data from 9 mutual funds -- total assets held by the fund and last year's return on the investment of the assets (cash). Please:
(1) construct a scatter diagram -- be sure you choose the correct dependent and independent variable. Think about these questions: Which variable influences the other? What is the direction of the relationship? Do assets influence the return or does the return influence the assets? What you choose as the "causing" variable will be X, what you choose as the variable being "caused" or influenced will be Y. Discuss your diagram.
(2) compute the coefficients of correlation and determination and discuss what they mean.
(3) test the significance of the sample correlation computed in #2.
(4) develop a regression equation. What return would you predict for $400M in assets? Is the regression equation you developed meaningful? Why or why not?
Be sure to highlight every statistic needed to address the problem and discuss what each means. Be sure to show all 5 steps necessary to test the significance of the correlation.
5) WHAT IS CORRELATION ANALYSIS? Provide an example.
6) What are the 4 COMPONENTS OF A TIME SERIES? Please expl ...
MyMemoirs allow everyone to tell his story to his relatives and to the world. Because we truly believe that everyone deserves memoirs.
We presented this project for the Entrepreneur Challenge at HEC School of Management. The aim was to create a web service targeted to senior people.
With this presentation, we have been elected best start-up among 15 other projects. The jury was presided by Marc Simoncini, Founder of Meetic.
Here the Ebriks SEO services company share a most effective presentation on the basis of the collected data that is pointing out the investment in the media.Ebriks are also involved in this field to provide their best services.if you know more about this please visit<a>SEO services</a>,<a>Best SEO Company</a>
Investigation of Frequent Batch Auctions using Agent Based ModelTakanobu Mizuta
Recently, the speed of order matching systems on financial exchanges increased due to competition between markets and due to large investor demands. There is an opinion that this increase is good for liquidity by increasing providing liquidity of market maker strategies (MM), on the other hand, there is also the opposite opinion that this speed causes socially wasteful arms race for speed and these costs are passed to other investors as execution costs.
A frequent batch auction (FBA) which reduces the value of speed advantages proposed, however, is also criticized that MM providing liquidity are exposed to more risks, and then they can continue to provide liquidity, then many MM retire, and finally liquidity will be reduced.
In this study we implemented a price mechanism that is changeable between a comparable continuance double auction (CDA) and FBA continuously, and analyzing profits/losses and risks of MM, we investigated whether MM can continue to provide liquidity even on FBA by using an artificial market model.
Our simulation results showed that on FBA execution rates of MM becomes smaller and this causes to reduce liquidity supply by MM. They also suggested that on FBA MM cannot avoid both an overnight risk and a price variation risk intraday, furthermore, it is very difficult that MM is rewarded for risks and continues to provide liquidity. Only on CDA MM is rewarded for risks and continue to provide liquidity.
This suggestion implies that MM that can provide liquidity on CDA cannot continue to provide liquidity on FBA and then many MM retire, finally liquidity will be reduced.
1) How would you define statistics How is statistics used in bu.docxSONU61709
1) How would you define statistics? How is statistics used in business decision making? Statistics is accurately defined as the study of the analysis, data collection, and organization of the data which is interpreted by a particular business field.
2) What is the importance of statistics in business decision making? Describe a business situation where statistics was used in making a decision.
3) The yield on a 30-year treasury note at the end of each year since 1990 is recorded below.
Compute a five-year (1) moving average and (2) weighted moving average using weights of .1, .1, .2, .3, and .3, respectively.
Describe the trend in yield both in
1. narrative form and
2. graphical form (see if you can place all the moving averages in one graph -- good for comparison).
year
yield
5 yr.
moving
avg
5 yr.
weighted
moving avg
1990
8.61
1991
8.14
1992
7.67
1993
6.59
1994
7.37
1995
6.88
1996
6.71
1997
6.61
1998
5.58
1999
5.87
2000
5.94
2001
5.49
2002
5.43
4) Correlation & Regression Equation:
1. discuss what is meant by "coefficient of correlation" and "coefficient of determination." What are these, what do they measure, what do you know when you have these numbers?
2. why and how should you test for the significance of the coefficient of correlation?
Assets Return
Sample Mutual Fund ($ millions) (%)
1
AARP
622.2
10.8
2
Babson
160.4
11.3
3
Compass
275.7
11.4
4
Galaxy
433.2
9.1
5
Keystone
437.9
9.2
6
MFS Bond A
494.5
11.6
7
Nichols
158.3
9.5
8
T Rowe
681
8.2
9
Thompston
241.3
6.8
The table above contains data from 9 mutual funds -- total assets held by the fund and last year's return on the investment of the assets (cash). Please:
(1) construct a scatter diagram -- be sure you choose the correct dependent and independent variable. Think about these questions: Which variable influences the other? What is the direction of the relationship? Do assets influence the return or does the return influence the assets? What you choose as the "causing" variable will be X, what you choose as the variable being "caused" or influenced will be Y. Discuss your diagram.
(2) compute the coefficients of correlation and determination and discuss what they mean.
(3) test the significance of the sample correlation computed in #2.
(4) develop a regression equation. What return would you predict for $400M in assets? Is the regression equation you developed meaningful? Why or why not?
Be sure to highlight every statistic needed to address the problem and discuss what each means. Be sure to show all 5 steps necessary to test the significance of the correlation.
5) WHAT IS CORRELATION ANALYSIS? Provide an example.
6) What are the 4 COMPONENTS OF A TIME SERIES? Please expl ...
MyMemoirs allow everyone to tell his story to his relatives and to the world. Because we truly believe that everyone deserves memoirs.
We presented this project for the Entrepreneur Challenge at HEC School of Management. The aim was to create a web service targeted to senior people.
With this presentation, we have been elected best start-up among 15 other projects. The jury was presided by Marc Simoncini, Founder of Meetic.
1. Do Now
Questions: Answers:
1.What is market analysis? 1.Detailed examination of the
features of a market.
2.What might be analysed?
2.Size, value, growth,
segments, competition.
3.Why is it so important to
businesses? 3.Predict future trends,
identify patterns in sales,
gather evidence for devising
new strategies.
3. Learning Objectives
By the end of the lesson you should be able to:
1.Explain the reasons for market analysis.
2.To identify and use different methods for analysing
markets.
3.Assess how businesses use their own marketing data
to analyse markets.
4. What methods can a business use
to predict what is going to
happen in the future?
5. Moving Averages
Fig 1. Graph show wild fluctuations Fig 2. The same graph showing the
underlying trend
6. Moving Averages
∗ Data covering a period of time may be subject to underlying
trend:
Sunday, 6 April 2008
∗ The trend itself
∗ Cyclical fluctuations
∗ Random fluctuations
7. Moving Averages
∗ What do they help businesses find?
∗ Underlying trend
∗ Predict future trends
∗ Moving averages smooth out data
∗ Moving averages plot the trend of
sales on a weekly, monthly or
quarterly basis.
10. Extrapolation
∗ What is extrapolation? ∗ Benefits:
∗ Using past and present data ∗ Help with marketing and
t0 make a prediction of future distribution strategies, help set
trends. sales targets, budgets,
∗ If businesses assume that this workforce and production
trend will continue, future planning.
sales figures can be
predicted. ∗ Drawbacks:
∗ In high-technology, fast paced
or dynamic markets –
∗ What are the benefits/ extrapolation is less useful or
drawbacks? misleading.
11. The following data show the average daily sunshine (hours) over the past 6
years and the amount spent on sun cream (£) during the same period.
Plot this data on a scatter graph
What do you notice?
Year 00 01 02 03 04 05
Average daily sunshine 3.96 4.15 3.75 4.00 4.80 4.75
(hours) (x)
Sales of sun cream (£m) 32 37 32 33 40 40
(y)
13. Positive Correlation
x
x
x
Sales of Blu-ray discs
x x
x x
x
x
Sales of Blu-ray players
14. Negative Correlation
x
x x
Sales of Tesco Value products
x x
x
x x
x
Average household income
15. Zero Correlation
x
x x
Sales of luxury cars
x
x
x
x
x
x x
x
x x
Sales of stamps
16. Correlation
Skiwear Advertising and Sales
Correlation between skiwear advertising and sales
17. Positive or Negative?
What correlation would you expect from the following?
1.Baked bean sales and sofa sales
2.Unemployment and sofa sales
3.House sales and sofa sales
18. Correlation
∗ What are the Pros and Cons to correlation?
Pros Cons
Identify relationship Shows link not cause
between variables and effect
Inform decisions e.g. Strong correlation may
marketing expenditure be caused by other
factors
19. Test Marketing
Using own
marketing
data
∗ What is test marketing?
∗ A firm will replicate the elements
of product launch including
promotion, distribution and
price, to a geographic region or
demographic group to judge the
viability of the product in the
market before a full scale launch.
∗ Can you think of any possible
drawbacks to this method?
20. Primary Research
Using own
marketing
data
∗ How would primary research be
used?
∗ Could be used in decision-
making.
∗ Determine future marketing
campaigns.
∗ Why might marketing data be
incorrect or misleading?
21. The use of information technology in
analysing markets
∗ How can firms use IT to collect and
analyse data?
Benefits:
∗ Businesses can now collect data Information processed
through store cards, online quickly, build an electronic
questionnaires or blogs. database, profile of
customers.
∗ Write down one benefit and one
drawback to collecting and analysing Drawbacks:
data in this way. Information overload can slow
down the decision making
process, quick access to
information may cause decision-
makers to over react.
22. A blooming business
∗ Complete the case
study based on a
blooming business
(AQA P63).
23. What can you remember?
Draw a correlation diagram to
show a positive correlation.
24. What can you remember?
What is a drawback of test
marketing?
25. What can you remember?
Draw a correlation diagram to
show a negative correlation.
26. What can you remember?
What is meant by extrapolation?
27. What can you remember?
What is the purpose of
calculating moving averages?
28. What can you remember?
What is a benefit of using IT to
analyse markets?
29. Learning Objectives
By the end of the lesson you should be able to:
1.Explain the reasons for market analysis.
2.To identify and use different methods for analysing
markets.
3.Assess how businesses use their own marketing data
to analyse markets.
Editor's Notes
Demographic/ geographic groups may not be suitable. Rival firms may steal ideas. Difficult to do if expanding abroad. Sample size may not be a suitable representation.
If backdata – may not reflect changes in consumer buying habits. Consumers do not behave in a predictable ways. Data may be biased.