众所周知,法律和技术、会计、金融的本质都是类似的,他们本身就是依附于商业世界,而非独立存在的。

1.课程介绍

Legal Language is taught and administered by the Melbourne Law School. It is offered as a
Breadth subject, as well as being a compulsory subject in the Law and Justice Minor. The Law
and Justice Minor is a joint initiative of the Melbourne Law School and the Criminology
Discipline (School of Social and Political Sciences, Arts Faculty) at the University of Melbourne.

2.Assessment 结构

As set out in the University Handbook, there are two required items of assessment.
(i) Judgment Report (1000 words) (占比25%)
(ii) Research Essay (3000 words) (占比75%)

3.代考代写学习资料构成

3.1 Lectures and Tutorials

These are designed to facilitate the development of your skills of writing and reading legal texts.

3.2 Legal Research Seminar

This is conducted by the Law Library. It is specifically tailored to
your needs in this course. It will take place in the second half of the course in order to help
you build your legal research skills for the research essay. Please check announcement in
lectures, tutorials and on LMS for the dates and how to enrol in them.

3.3 Revision Lectures and Tutorials

There are two sets of revision classes – one before the
first and one before the second assessment task. See the Topic schedule in the Subject
Guide for the specific dates.

4. ASSESSMENT TASK

Each of the questions below asks you to write a report that reflects on your understanding of
and reading of a named judgment or judgments. The ‘Guiding Quotation’ are provided to
prompt some thoughts about themes and approach you might want to take up. The quotes take
up some of the issues and approach that you have encountered in the lecture and the tutorial
discussions in weeks 1 to 6 inclusive.

4.1 Question 1

Write a brief report that reflects on your understanding of the differences in style and content
between the judgment of Cummins J in Victorian Supreme Court and the judgment by Winneke
P in the Victorian Court of Criminal Appeal in the Whiteside & Dieber case. Edited extracts of
these two judgments are included in the subject materials for this subject and can be accessed
online at Austlii.

4.2 Question 2

Write a brief report which reflects on your reading of the language and contexts of the
judgments of Gibbs CJ and Wilson J on the issue of standing in Onus v Alcoa [1981] HCA 50.

5. 打分重要事项

5.1 Relevance

the extent to which your written text is relevant to the stated task.

5.2 Argument

the extent to which your written text demonstrates engagement with, and understanding of, the text of the judgment.

5.3 Examples

whether or not the arguments of your text are linked to appropriate examples drawn from the judgment or other relevant legal texts.

5.4 Evaluation of Argument

the written report shows that you have evaluated the worth of your argument, as well as the worth of arguments made by the judgment being analysed and other texts you are using.

 

 

Differential geometry, branch of mathematics that studies the geometry of curves, surfaces, and manifolds (the higher-dimensional analogs of surfaces).

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Econometrics is about:
Studying the relationship between economic variables
Using data to test economic theories. For example, using the appropriate data one can test whether there is positive relationship between household per capita food expenditure and income.
It can be used to quantify the impact of an economic variable on another economic variable. For example, using data one can estimate by how many percent demand for oil drops when price increases by 1%.

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Faculty of Business, Economics and Law代写

Bachelor of Business

Economic History

Essay Brief

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You are required to write an essay on one of the two following topics.

Topic 1: Many economic historians believe that good institutions are the key to modern economic growth. For the UK, we might look to the institutional changes associated with the sealing of the Magna Carta in 1215, 1216, and 1225 and the Glorious Revolution of 1688 for evidence in support of this belief. Your task for topic is to describe the long-run institutional change in any country, as it relates to economic development. You may look at any country that has been economically successful (at least for some period; Argentina offers the interesting case study of early success followed by relative decline through the 20th Century).

For a framework for the essay, I suggest that you read either Structure and Change by Douglass C. North or The Rise and Decline of Nations by Mancur Olson. You will need to do your own digging for country specific material but talk to me if you are having trouble.

 

Topic 2: Reasonable people have variously argued that the British Industrial Revolution was not exclusively British, not primarily industrial, and, on further reflection, not a revolution after all. Regardless of the merits of these arguments, it is clear that Britain underwent significant social and economic change between 1780 and 1860. Your task for this topic is to trace out the changes in Britain in any one of the following:

  1. The composition and structure of the family, including where they lived, who did what jobs and under what conditions. You may respond to this topic narrowly by considering the household economy, or broadly by considering demographic change and rural to urban migration.
  2. The organisation of industry. The focus of this topic is on the organisation of firms and industries and the way in which business was conducted rather than the specifics of the products they produced. You may approach this topic from the perspective of corporate finance and examine how businesses were financed.
  3. The standard of living. We are all beneficiaries of the Industrial Revolution. It is not clear that those who lived through it benefited. So, who did benefit, and from when?
  4. How did the agricultural sector change during the Industrial Revolution? Who farmed what land and under what (employment or other) conditions? Did agriculture become more commercial?

For each of these there are relevant (and fully referenced) readings in The Economic History of Britain since 1700, Volume 1, 2nd edition (Floud and McCloskey eds). Please also look through the paper list for the Abstracts for further readings.

You are better off writing in detail about a small number of important papers than superficially about a large number. So, pay attention to authors – you should know who the main contributors are in the field that you are writing about, and have used their most important works. In this vein, pay attention to the authors of the Floud and McCloskey chapters.

In addition, each of these topics can be divided into many sub-topics. For example, the debate over the standard of living can be divided (non-exhaustively) into: changes in real wages; changes in life expectancy and adult height; changes in the distribution of income; and the impact of the rise of the welfare state, including public education. You are free to define your topic narrowly or broadly; run ideas past me if you are not sure.

You may write on any of the above topics for a country other than Britain during their transition to modern economic growth. But you are then responsible for finding your starting material. I will help, so talk to me if you would like to write on a different country but be aware that there is the risk that the necessary material simply isn’t there.

 

Structure and Formatting

Length: 2,500 words, plus or minus 10% (you should be struggling to stay below the upper bound, rather than above the lower bound).

Font: Calibri, Cambria, Arial, Tahoma, and Times New Roman are all fine (as are the Mac equivalents).

Font size: 11 or 12 point (10 or 11 for Tahoma).

Line spacing: 1.5 or 2.

Referencing: The faculty officially requires APA, so that is always acceptable. I prefer the style used in Floud and McCloskey. It has some overlap with APA but is more flexible for in-text citations and easier on the reader. And because this a history paper, you may also use footnoted references (c.f. The Economic History Review).

General: For any other formatting concerns, please consult the Chicago Manual of Style. The library has print copies and online access. If you are using it for the first time, the print version will probably make more sense as the Manual has a section numbering system that works more naturally in a print book than on a website.

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Assignment

 

Read the case notes below and consider the data shown in the appendix.

 

Determine how this information can be used to shed light on the impact of equity ownership on company performance.

 

Then write a report for the Directors of JPD which addresses these issues.

 

Remember, the Directors of JPD are not experts in statistical analysis. Hence you will need to explain what you are doing and why, as well as the meaning of your results.

 

In structuring your report you may wish to consider the following framework. This does not mean that you simply respond to (a) to (d) below, but rather that you formulate headings and sub-headings for your briefing note using the framework as a starting point.

 

(a) A graphical representation of the data and a discussion of any issues or patterns which arise from this exercise. You need to decide upon the exact data to use and the appropriate graph(s).

 

(b) Univariate (single variable) and bivariate (two variable) analysis and discussion which considers the links between equity ownership and company performance.

 

(c) Multivariate (multiple variable) analysis and associated discussion which makes use of the data shown in Appendix I.

 

(d) Any other issues, problems or additional complications which you feel should be conveyed to the Directors of JPD with respect to your analysis.

 

Equity Ownership and Company Performance

 

You have recently been appointed as an analyst within PMC Inc. PMC is a UK consultancy company that undertakes independent research for client organisations.

 

Your first client is a large investment management firm (JPD) which provides advice and administrative services to both individuals and companies in relation to portfolio selection and specific asset purchase (stocks, bonds, etc.).

 

The Directors of JPD are interested in determining the impact which equity ownership has on company performance. In particular, the extent to which the separation of ownership and control provides opportunity for managers to undertake activities which negatively impact on performance and whether large shareholders can put pressure on managers to increase this performance.

 

You have been asked to undertake some quantitative analysis looking at this issue. While you are familiar with various different aspects of statistics and a number of statistical packages you have not undertaken a project of this nature before. Hence you start by conducting a literature search.

 

This search proves beneficial and you find that there are a number of existing studies which look at equity ownership and firm performance, although none specifically in a UK context.

 

In terms of theoretical work one of the overarching themes is that of the principal/agent problem. This suggests that the owners of a firm will want to pursue profit or value maximisation, but that on many occasions share ownership is so dispersed that the ability of shareholders to push managers in this direction is extremely limited. In contrast managers will have other objectives such as ‘empire building’ or a quest for higher salaries, with pursuit of these alternative objectives being possible (at the expense of profit) because control cannot be exerted by shareholders. This implies that in situations where equity ownership is not dispersed and instead resides to a large extent in the hands of a single organisation or individual then it should be possible to force managers to pursue value maximisation. However, there is also the suggestion that some of the owners of a company may have objectives other than maximum value.

 

In terms of empirical work there have been a number of studies which have attempted to look at the impact which ownership concentration (percentage shares of the largest owner) has on performance. Various measures of company performance have been used including accounting profit, market to book value and return on capital employed. In addition, some studies have looked at whether the identity of the largest owner (bank, institutional investor, etc.) has an effect on these performance measures. All such studies also contain ‘control variables’ which are likely to impact on company performance. The most frequently used of these is firm size. In addition, some studies have attempted to control for the industry in which the firms are located.

 

From the material you have identified you draw up a list of variables which can be used to identify the impact, if any, of equity ownership on performance. You then collect numerical data on each of these variables (details of the data can be found in Appendix I).

 

You now need to consider how you will analyse this information. In addition you need to consider how you will explain the approach(es) you have adopted and the implication of your analysis given that the Directors of JPD are not experts in quantitative or statistical methods.

 

Appendix I

 

The data for this assignment can be found in the file EO1.XLS . This information relates to a large sample of medium and large sized firms. In total there are 350 observations. The first 6 observations are shown below.

 

Variable definitions:

 

MBV: Market to book value.

Identity: Identity of the largest owner:

3 if bank,

4 if institutional investor,

5 if non-financial company,

6 if family or single person.

Con: Ownership concentration, percentage shares of the largest owner.

Size: Total assets of company, £ million.

ROCE: Return on capital employed, percent.

Industry: Sector in which company operates:

1 if manufacturing,

2 if services,

3 if primary.

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Charting – Identify each state # with its 2-digit abbreviation.
Use the summary data (in yellow) for each of the charts.
Label appropriate axes.
Points
1.  Display only the relevant column(s) of data, with column headings.1
2. Produce one horizontal column chart on the number of application received by state, including title and axes’ labels.2
3. Produce one pie chart on the number of applications accepted by state.2
4.  Calculate 4 state acceptance rates (%); formulae in Excel need to be visible on-line for the calculation of the acceptance rate (%).2
5. Produce a chart (different from #2 or #3) on the calculated acceptance rate (%) by state, including title and axes’ labels.2

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report结构简单且清晰

Executive summary

  1. Introduction
  2. Ratio analysis

2.1 Profitability ratios

2.1.1 Return on equity

2.1.2 Return on assets

2.1.3 Operating Profit Margin

2.1.4 Net Profit Margin

2.2 Efficiency ratios代写

2.2.1 Asset turnover ratio

2.2.2 Fixed Asset Turnover代写

2.2.3 Average collection period & debtor turnover

2.3 Liquidity ratios

2.3.1 Current ratio

2.3.2 Quick ratio代写

2.4. Gearing ratios

2.4.1 Debt equity ratio

2.4.2 Equity ratio

2.4.3 Debt ratio

2.4.4 Expense management ratio

  1. Vertical and horizontal analysis

3.1 Vertical analysis of balance sheet

3.2 Vertical analysis of income statement

3.3 Horizontal analysis of balance sheet

3.4 Horizontal analysis of income statement

  1. Conclusion
  2. Recommendation

An appendix containing details of your analysis

An appendix of the three core financial statements for the years that are analyzed

Reference in proper academic format using APA conventions

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Forecasting and Quantitative Analysis Assignment details
Required:
1.Start your business report with a short formal introduction stating the background of the company and what you are studying.Discussyour choice of time interval/s(dailyweeklymonthly) and time period.(15 marks).
2. Present your data graphically and discuss the results.Please explain whether transformation/adiustment/decompositionis needed for your data(note you don’t need to transform/adjust/decompose the data,just to explain what is required).Plotthecompanyreturns ACF.Do the returns look likewhite noise?Explain your answer.(20 marks).
3.Calculate and present descriptive statistics for the stock returns and discusstheresults(15marks)
4. In this section you are required to use regression analysis to test the predictive power of past
returns(RETLAG)on future returns(RET).Write down the regressionequation-besuretolabel correctly the x and y variables and include the values of the slope and intercept Create a new
table that summarises thefollowing key measures of your regression analysis-Number of
Observations,Adjusted R SquareValue ofthe Slope,and P-Value ofthe Slope.Be sureto comment on each measure(25 marks).
5. Summarise your results and provide conclusions
Include any relevant recommendations that you believe could improve your analysis.Discuss the variables and methods you used for the prediction(15 marks).
6. The report should be well presented and coherent with no grammar mistakes

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注意

每道题目做完以后

把excel spread sheet 截屏以后,复制粘贴到word里面

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Assignment 5     

(This assignment is based on Problem 13.23 (edition 4) which you can find at the bottom. Do not do 13.23)

 

Jennifer was just born and her parents have decided to save money to pay for her college education.   They will invest $15,000 right now, and $10,000 each year on her future birthdays for the next 17 years (i.e. $10,000 when she turns 1, 2, 3,   …  16, 17).  They are bullish on America and are investing all of this money in the stock market.  The principal and returns are allowed to accumulate (i.e. are reinvested) in the equities market and no distribution of funds will be done before Jennifer starts college.  Assume that the returns of the stock market are normally distributed and are independent from year to year with a mean (µ) return of 7% and a standard deviation (σ) of 10%.  All investments returns are tax free.

 

 

REQUIRED  –  Jennifer is planning to go to college starting on her 18th birthday; hence it is important for the parents to know how much money will have accumulated in her College Fund at that time (Call this the ACCUMULATION of the College Fund).  Construct a Monte-Carlo simulation model in EXCEL or CRYSTAL BALL (EXCEL add-on) to model the problem.  Run the simulation for at least 1,000 trials to answer the following questions:

 

  1. What is the mean and the standard deviation of the ACCUMULATION?

 

  1. What is the probability that the ACCUMULATION is over $300,000?  over $350,000? over $400,000?

 

  1. What is the ACCUMULATION if the standard deviations is zero.  (Fixed return)

 

  1. Can you compute a 95% confidence interval estimate of ACCUMULATION?    If so, what is it?  If not, why not?

 

  1. Can this problem be solved without using simulation?  If so, how?

 

EXTRA CREDIT  –  Now consider the case where the rates of return are not independent from year to year.  There is an idea in finance that if returns are higher in a given year they will be lower in the next year.  (MEAN REVERSION).  Assume the following model:

 

The mean return in a given year  =  7% – α (Last year’s return –7%)

 

  1. Modify your initial model and answer questions “a”, “b”, and “c” for  α = 0.25, 0.5, and 1.0

 

  1. How do the results of this model compare with the original model?  Are they what you might have expected?  Comment.

Instructions: This is a take home “exam” – notes and generic online resources are fine. You are required to submit a brief write-up showing your results (just like your homework), as well as a source code that is both runnable and readable. Credit will be given based on both materials. Partial credit will be given for code that shows comprehension of the material, even if the end result is incorrect.

Problem 1
In this question we will study differences in wages and hours worked by the gender of respondents in our Org data. Of particular interest is how these differences in employment outcomes change along the lifecycle of work, from college age to retirement.
To begin, we will study wage differences by gender, and how these differences change with age. Specifically, we will estimate the following using a generalized linear model:

log(rw) = as.f actor(age) ∗ f emale + educ + wbho + u

Here, rw is the real wage, educ is an education factor variable, wbho is a factor variable describing the race of the respondent, age is the age of the respondent, and f emale takes on a value of 1 when the respondent is a woman. Note that we have wrapped “age” with “as.factor”, which changes numeric values of age to a factor variable. We have also interacted age, and female, which in R will compute the full interaction between them. This interaction will allow us to look at the lifecycle of the wage gap.
a. Please estimate the model described above for 1993 and 2013 (separately), restricting the models to only those respondents who are in the labor force. Please interpret the education coefficients briefly, and comment on any changes between the two years. (10 points)
b. For each sample (1993 and 2013), please generate a predicted log wage for a white female with a college education for all ages 20-70, and then for a white male with a college education for the same ages. Illustrate the log differences in male-female wages on a plot, and comment on how the wage gap changes over the age of the respondent, and how the life cycle of the wage gap changes between
1993 and 2013. (20 points)

c. Please repeat the exercise in part b, but propose and use a model evaluating hours worked. Please be sure to change missing value of hours worked to zero prior to running the estimation. Illustrate the log differences in male-female predicted hours worked on a plot, and comment on how the gap changes over the age of the respondent, and how the life cycle of the gap changes between 1993 and
2013. (20 points)
Problem 2
For this question, please use the data set with your name on it from the course webpage. This dataset was sourced from the St. Louis Fed “FRED” data series for local housing markets. Your job in this question is to estimate a non-parametric fit for your housing market.
a. Using LOESS with degree=1 in R, use a leave-one-out (cross-validation) procedure to estimate the optimal span for non-parametric estimation. Please report this span, and plot your optimal non-parametric function using this span, including the original data on the same plot. (10 points)
Precision: When finding the optimal span, please do so to the nearest 0.05.

b. Please estimate the same time series using a third-degree spline, with knots every 10 periods (which are actually quarters) starting at period 10. Again, plot your non-parametric fit on a plot, which also includes the original data. (20 points)
c. Please use the logic of cross validation and write a procedure to optimize where you start the 10 period increments. That is, does the best spline fit start follow (5,15,…), or (10,20,…), or (11,21,…) or some other sequence of 10 period increments. Plot the best fit from the cross-validation, reporting the starting point. (20 points)

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