Grantham University Heartland Financial Inc Interpretation and Analysis

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Running Head: ANALYTIC TECHNIQUES Student name Course title Date of submission 1 ANALYTIC TECHNIQUES 2 Introduction Heartland Financial Inc. is financial institute that has continued to provide financial services for over twenty decades. The institute was established in 1981 where the founders had a vision of investing and growing the communities that were within the vicinity of the company. The company has continued to provide services not only to individuals but also to big corporates where is offers products such as commercial loans, retirement planning services, credit cards, checking and savings accounts. Through its operational years, the company has successfully succeed to merge with several bank creating one of the largest banking network in the country. The report analyzes the stock data of the company as it tries to elaborate how successfully the company has been in fulfilling its commitment and objectives. As a result, some of the measures that will be analyzed included the mean of the stock data, the median, and the standard deviation. Further, to practically depict the trend of the company, the report presents the data using two main graphs; the scatterplots and histogram. A sample of the stock data for a period of one year is presented in the table below. Date High Low Volume 1-Aug 61.95 57.00 2,720,200 1-Sep 61.95 57.50 3,038,300 1-Oct 59.16 50.91 2,586,800 1-Nov 55.74 52.52 1,399,000 1-Dec 55.20 41.88 2,451,000 1-Jan 48.14 41.36 2,101,800 1-Feb 49.29 45.31 1,423,800 1-Mar 49.00 41.57 2,190,300 1-Apr 47.94 42.63 1,567,900 1-May 46.79 40.80 1,590,600 1-Jun 45.00 41.21 2,906,300 1-Jul 45.22 43.31 888,000 ANALYTIC TECHNIQUES 3 The above table indicates the high and low prices that the stock of company attained during the month. In addition, for better understanding, it was deemed necessary to incorporate the total volume of stock that was traded during that entire period. To mean, median and standard deviation of the data is indicated in the table below. The values were tabulated in an excel document with the help of the inbuilt formulas. High Low 52.12 46.33 49.15 42.97 6.35 6.37 Mean Median Standard Deviation Scatterplots for Stock Prices 70.00 60.00 50.00 40.00 High 30.00 Low 20.00 10.00 0.00 10-Apr 19-Jul 27-Oct 4-Feb 15-May 23-Aug Histogram 6 4 3 2 Frequency 1 0 40.80 41.21 41.36 41.57 41.88 42.63 43.31 45.31 50.91 52.52 57.00 57.50 More Frequency 5 Bin Volume 2,072,000 2,146,050 689,816.14 ANALYTIC TECHNIQUES 4 Analysis The Mean, Median and Mode are measures of central tendency that are used in statistical work to analyze data through the identification of the central position in any given data set. The mean is often used with both discrete and continuous data and is used to identify the central tendency of data. This is simply calculated by summing up the data set and dividing the population with the count number of the data. Therefore, according to the data, the mean is presented as 52.12, 46.33, and 2072000, respectively. This implies that values that fell below the set mean value did poorly as far as the stock price trends of the entire period. The median is another central tendency measure that is used to provide the middle score of the data set. It will often shed light on the location of the data sets. The median is a crucial central tendency measure since when compared to the mean it informs us about the distribution of the dataset. Therefore, in circumstances where the median and the mean are similar, the dataset is said to be more or less evenly distributed when considering the highest value in the dataset to the lowest value. Likewise, when there is a difference between the mean and median then the dataset is said not to be symmetrical hence skewed to either the right or left. When the mean is larger than the median the dataset is said to be skewed to the right. According to our dataset, the mean is larger than the median hence the dataset is skewed to the right. Finally, the standard deviation is a statistical measure that is used to indicate the measurement of a dataset and how the dataset is spread out from its mean. When the standard deviation value is low, then the dataset tends to deviate towards the mean. ANALYTIC TECHNIQUES 5 References Chen, J. (2010). Essentials of technical analysis for financial markets. New Jersey: John Wiley & Sons. Fridson, M., & Alvarez, F. (2011). Financial Statement Analysis: A Practitioner's Guide. Wiley. https://finance.yahoo.com/quote/HTLF/history?period1=1531490195&period2=1563026195&in terval=1mo&filter=history&frequency=1mo Assessment 1 Key Performance Indicators for Successful Simulation Projects Student name Professor name Course title Date of submission Introduction  There are many factors that business will analyze to ensure they are successful.  In the article by Jahangirian, Taylor, Young and Robinson, the focus has mainly been on the importance of key performance so as to measure the success of any business projects.  With that said, it is expected that the information presented will be much more detailed.  However, the use of graphs and charts tends to be incorporated in many reports so as to presented the data and information gathered in a much fashionable ways. Interpretation  Bar graphs  Analysis of the Key Performance Indicator based on an individual level.  The graph is represented using bar graphs where the y-axis contains the satisfaction level while the x-axis contains the variables that are to be measures.  By taking a look at the graph there are few things that can be deduced  There are five variables: Communication and interaction, competence of provider, Responsiveness, Involvement, and Customer’s Organization.  The five variables were measured to determine the results of the data that was been analyzed.  Each variable produced different result when applied at a work environment. Interpretation Cont.  The second graph under study is the scatter plot chart.  According to the chart, there is outright differences between the first chart mainly because in this graph there are only two main components where the y-axis is used to represent the responsiveness while the x-axis is used to represent the overall success of the project.  The two variables have used percentage where the variations are indicated by points in the chart area.  According to the chart the main case that is been analyzed is how the success of the project is often influenced by the responsiveness of the employees working in the project. Analysis  Analysis of data presented using bar charts tends to be straight forward considering it is easy to understand even at first look.  According to the bar graph used to analyze the average SFM values measured using nine exemplar cases, the results indicated that  Communication and interaction had a success rate of 63%.  Competence of provider was the highest with a value of 68%.  Responsiveness had a score value of 54%  Involvement had a score of 49%  Customer’s organization had the least value of 43% Analysis Cont.  A scatterplot will often be used when two data sets are been studies. In this case, the impact of responsiveness was measured to determine how it would affect the overall success rate of a project. The results were presented in the a scatterplot graph using dots spread across the graph area.  The first impression that the chart shows is that the variables depicts a perfect positive correlation.  This is because as responsiveness increases so does the success rate of the project. References  Jahangirian, Mohsen & J E Taylor, Simon & Young, Terry & Robinson, Stewart. (2016). Key performance indicators for successful simulation projects. Journal of the Operational Research Society. 10.1057/jors.2016.1. il Sprint o 4 11:26 PM courserooma.capella.edu View Assessment >> Assessment 4: Presenting Data Analysis Results Effectively Target Date: 07/19/2019 Not Submitted Create a 9-slide PowerPoint presentation that interprets four of the graphs from the report you created in the last two assessments. You have the option of recording a voice-over of up to 10 minutes or including detailed presenter's notes in the PowerPoint slide deck to explain the points in each slide. Status: Not Submitted View Assessment » Complete Course Complete each assessment to unlock COMPETENCY MAP Use this online tool to track your performance and progress through your course. ..l Sprint 3 4 11:26 PM courserooma.capella.edu Attempt 1 Submitted Assessment 3: Applying Analytic Techniques to Business Target Date: 07/17/2019 Not Submitted In the last assessment, you were asked to prepare the first part of your analytics report by creating graphs and calculating some descriptive statistics. In this assessment, you will write your 6-8 page analytics report by interpreting those graphs and statistics, and explicitly connecting those interpretations to implications in the practical business context. Status: Not Submitted View Assessment » + Assessment 4: Presenting Data Analysis Results Effectively Target Date: 07/19/2019 Not Submitted Complete Course Complete each assessment to unlock
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Running Head: ANALYTIC TECHNIQUES

Student Name
Course name
Professor name
Date of submission

1

ANALYTIC TECHNIQUES

2

Introduction
Organizations will often be very cautious when it comes to their operations. This is
because, investors will always be on the lookout on the company’s financial analysis tools.
Financial statements play a role in the determination of the company health status so that
investors can understand that investing in such a company, their investment will be worthwhile.
As a result, there are various factors that continue to ensure that companies prepare and ensure
that they have a health financial statement. According to statistics, shareholders will use the
financial statements of a company to make decisions whether it is necessary to keep holding on
the company’s shares or sell them. In addition, financial statements will be instrumental in the
decision making process of the company. The management will often use their financial
statements to assist in the formation of plans and policies and to understand the weak areas that
the company is facing hence making the necessary adjustment. Another aspect that the financial
statements play is that they allow companies access credit facilities. In most cases, credit
facilities will tend to act as a source of funding of the company that will try to keep the company
afloat. However, too much credit facilitie...


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