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Understanding Simple Linear Regression: R-squared, Slope, and Conditions

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Write an interpretation of r^2 using the template in the Activity 2.1 Readings. We will do this one as a class.

Template: The proportion of the variation in the Y variable that is explained by the SLR model with the X variable is r^2.

For slope : Template: As x var increases by 1 unit, we predict y var  will increase/dec  by ____  y var units.

For y-intercept: When x var = 0 units, we predict that the y var  will be ____ units..

For SLR: Error = epsilon = y - yhat = y - (betahat0 + betahat1x)

SSE = residual1^2 + res. 2^2 +…+ res.  n^2 AD_4nXdgexHFktdBh3CFf6Ipr3g0Dvmpby1nEeB2kf4m3BPlVZyVmpXy0M3wvv_abbUEw0FmvELgZ4sk8s6J4Iz5loc0vp-F8fhOq9FiXmgdgpWxRvt0Y4-osnlgACEA0r4voQ32JZKQDqgWqqZ8QAv1u5nrCAGl?key=sPl0wRYNdDvyOslUfU3rFg

Standard error of regression = Root MSE (in SAS language)

The text lists six conditions for simple linear... Continue reading "Understanding Simple Linear Regression: R-squared, Slope, and Conditions" »

Financial Budgeting: Principles and Model Development

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Key Principles of Financial Budgeting

Entity Principle

Consider the company as a functional entity.

Leadership Principle

The Financial Planning Manager develops and coordinates the budget.

Authority Principle

The Finance Manager supervises and presents the budget to the Board of Directors (Partners).

Participation Principle

Involve all key participants in the budget's preparation.

Commitment Principle

All managers undertake to follow the budget, notifying any deviation in a timely manner.

Goal Principle

The budget is based on the strategic planning objectives.

Accounting Principle

A budget system should mirror the current accounting system.

Measurement Principle

All estimates must be in currency units.

Predictability Principle

The predictions generated must... Continue reading "Financial Budgeting: Principles and Model Development" »

Financial Accounting: Leases & Credit Facilities

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Lease Accounting: Vehicle Leases and Journal Entries

Today is May 31, X1, and we lease three vehicles to visit our factories for €120,000. The contractual conditions are as follows:

  • The term of the lease is 4 years.
  • The payments (€35,000 each) are annual and will be made on May 31. An additional €1,000 will be added as a purchase option in the final payment.
  • Effective interest rate: 6.75%
  • The estimated useful life for each vehicle is 8 years.

Lease Amortization Schedule

PeriodInterest (€)Payment (€)Amortized Principal (€)Amortized Cost (€)
May 31, X1120,000.00
May 31, X28,097.6435,000.0026,902.3693,097.64
May 31, X36,282.2635,000.0028,717.7464,379.90

Journal Entries for Lease Transactions

May 31, X1: Initial Lease Recognition

CodeDebit (€)
... Continue reading "Financial Accounting: Leases & Credit Facilities" »

Foundations of Data Analytics, Databases, and Statistics

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Introduction to Data Analytics

Types of Data Analytics

  • Descriptive: Analyzes past trends.
  • Predictive: Applies past trends to current data to understand the future.
  • Prescriptive: Suggests actions and outlines potential impacts.

Project Stages

  1. Problem Specification:
    1. Understand the Problem Statement.
    2. Define the Project Scope.
  2. Data Gathering & Preprocessing:
    1. Define a system for data collection.
    2. Clean data with data processing.
  3. Descriptive Analytics:
    1. Perform Exploratory Data Analysis (EDA).
    2. Get a basic understanding of the dataset.
    3. Answer initial assumptions about the data.
  4. Machine Learning:
    1. Apply correct ML models depending on the scope/nature of the data and project.
    2. Train the ML model to assess its performance.
  5. Deployment:
    1. Consult with project stakeholders on
... Continue reading "Foundations of Data Analytics, Databases, and Statistics" »

Core Statistical Concepts and Methods

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Statistical Goals

  • Describe: Explain what's happening in the data (e.g., mean, mode, average, minimum, variation).
  • Explore: Understand how different variables relate to each other.
  • Draw Inference: Test hypotheses or theories to make generalizations. Important: Correlation doesn't equal causation.
  • Predict: Forecast future outcomes (e.g., weather networks).
  • Draw Causal Inference: Determine cause-and-effect relationships, which requires experiments.

Variables in Statistics

Variable Types

  1. Categorical (e.g., color, name, religion) vs. Numerical (Discrete: whole numbers OR Continuous: decimals, e.g., movie ranking).
    • Nominal: Categories with no inherent order.
    • Ordinal: Categories with a meaningful order.
    • Interval: Ordered, equal intervals, but zero is arbitrary
... Continue reading "Core Statistical Concepts and Methods" »

Financial Calculations: Bond Valuation & Stock Risk Analysis

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Bond Valuation and Interest Rate Premiums

Calculating Bond Rates and Premiums

1. Long-Term Treasury Bond Rate Calculation

You read in The Wall Street Journal that 30-day T-bills are currently yielding 2%. Your brother-in-law, a broker at Kyoto Securities, has provided the following estimates of current interest rate premiums on a 1-year bond:

  • Liquidity Premium: 3%
  • Maturity Risk Premium (MRP): 1.5%
  • Default Risk Premium (DRP): 1.2%

Based on these data, what is the long-term Treasury bond rate?

For a Treasury bond, the Liquidity Premium and Default Risk Premium are typically not applicable. The 30-day T-bill yield (2%) can be considered the short-term risk-free rate plus inflation premium (r* + IP). To find the long-term Treasury bond rate, we add the... Continue reading "Financial Calculations: Bond Valuation & Stock Risk Analysis" »

zdfxf

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A definition must have the following requirements: 1. Be as concise as possible, that is, do not include properties that can be deduced from others already included in the definition 2. Do not contain contradictions 3. Do not contain only negative statement 4. Do not contain ambiguities Altura: Segment perpendicular to one side that joins a point on that side (or its prologation) with the opposite vertex, 3 alturas, ortocentro. Apotema: Segment that joins the midpoint of one side of the polygon with the center of this. Toulmin: fact ()- modal cualifier(always)-conclusion()-warrant()-backing(). Interior angle: The polygon of n sides can be decomposed into n-2 triangles. Therefore, the sum of the interior angles of the polygon would
... Continue reading "zdfxf" »

European Call Option Dynamic and Static Hedging Strategies

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Consider an European call option with strike equal to 10, T = 1, r = 0.05 and σ = 0.2. Using the following time-series:






1. For every time moment t = 0, 1/360, 2/360:

  • Calculate the Black-Scholes price.
  • Calculate the corresponding delta.
  • Calculate the price of the corresponding replicating portfolio and its composition, if we consider a dynamic hedging.


2. Calculate a static hedging. What is the final value of the portfolio? Compare with the dynamic hedging results.


Solution

  • At time 0, time to maturity is 1, and then
    • The Black-Scholes price is given by S0N(d1)−Ke−rT N(d2) = 10N(0.35)−10e−0.05N(0.15) = 1.0450
    • The Delta is given by N(d1) = N(0.35) = 0.6368
    • At time t = 0, the value of the replicating portfolio coincides with the Black-Scholes price
... Continue reading "European Call Option Dynamic and Static Hedging Strategies" »

Mathematical Aptitude Test: Average Practice Questions

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Mathematical Aptitude - Average

Question 1

The average age of 30 students is 9 years. If the age of their teacher is included, it becomes 10 years. The age of the teacher (in years) is

_______

(A) 31

(B) 35

(C) 40

(D) 43

Question 2

The average weight of 10 men is decreased by 3 kg when one of them whose weight is 80 kg is replaced by a new person. The weight of the new person is

_______

(A) 50

(B) 60

(C) 70

(D) 73

Question 3

The average of 17 numbers is 45. The average of the first 9 of these numbers is 51 and the last 9 of these numbers is 36. What is the ninth number?

(A) 14

(B) 16

(C) 18

(D) 20

Question 4

The average weight of 9 mangoes increases by 20 gm if one of them weighing 120 gm is replaced by another. The weight of the new mango is

________

(A) 180 gm

(B)... Continue reading "Mathematical Aptitude Test: Average Practice Questions" »

Interest Rate Risk Management: A Comprehensive Guide for Investors

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Management of Interest Rate Risk

Major Risks in Bond Market

A) Interest Rate Risk (change in market prices of bonds due to varying interest rates)

  • Increase in rates, decrease in market prices, increase in reinvestment rate risk (coupons reinvested at lower return)

B) Reinvestment Rate Risk (uncertainty of rate at which interim cash flows can be reinvested)

  • High coupon rate, high reinvestment rate risk
  • Greater for longer holding periods (high interim cash flows)

C) Default Risk (credit risk) (issuer unable/unwilling to pay interest and principal of bond)

  • High credit rating, lower yield
  • Short-term T-bills (almost risk-free, no default risk, and low return and reinvestment risk because of short duration)

D) Call Risk (risk bond issuer will redeem bond before... Continue reading "Interest Rate Risk Management: A Comprehensive Guide for Investors" »