M.Sc Quantitative Methods for Valuation Dec 2023

Description

Quantitative Methods for Valuation

December 2023 Examination

 

 

 

Q1. Cleansing of Text is an important activity executed in Data Analytics. Assuming yourself as a Data Consultant, you have been tasked to cleanse text. How will you progress with the activity? Explain with suitable examples. (10 Marks)

Ans :

Introduction

In the ever-expanding landscape of data analytics, the importance of textual content data can’t be overstated. Text records, comprising outstanding amounts of unstructured information, fuel various applications across various domains. But extracting meaningful insights from these facts gives a unique set of challenges. Preparing these uncooked textual facts for evaluation is called textual content facts cleansing or preprocessing. It involves meticulously cleaning and transforming unstructured text into a structured layout that can be effectively analyzed, paving the manner for accurate and actionable insights.

This advent delves into the critical role of text statistics cleaning in facts analytics. We will

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Q2. Error Analysis involves True Positive Rate and False Positive Rate. How are these two Rates measured? How are they different from Type 1 and Type 2 Errors? Your answer should be able to give examples related to Valuation. (10 Marks)

 

Ans :

 

Introduction

 

Errors analysis is vital to assessing the overall performance and accuracy of various systems, fashions, or processes. In multiple fields like system learning, medicine, finance, and more, it allows comparing the effectiveness of a device’s predictions or decisions. This analysis involves understanding and calculating key metrics such as actual acceptable price (TPR) and false positive charge (FPR), which are fundamental in assessing the reliability of a system.

 

 

Concept of True Positive Rate and False Positive Rate

 

Valid positive rate (TPR), or sensitivity or consideration, is the proportion of real superb cases effectively identified by the model or system. Mathematically, TPR is calculated as:

 

 

Q3. a) In a classic simulation, distribution of values is estimated for each input parameter in the analysis for example growth, market share etc. In this reference for simulation of growth mention how would you execute the activity? (5 Marks)

 

Ans:

Introduction

The advent units the degree for knowledge of the simulation of growth. It elucidates the importance of growth simulation in strategic business decision-making and provides a top-level view of what it involves. It has to cope with the significance of accurate growth

 

1. b) The number of simulations runs depends on three parameters. Explain the importance of these three parameters. (5 Marks)

Ans :

Introduction 

As a crucial tool in various fields, simulation is predicated closely on three fundamental parameters that notably affect the results and effectiveness of the simulation runs. Those parameters, encompassing aspects like enter values, version complexity, and simulation period, play a pivotal position in shaping the accuracy and reliability of simulated results. This newsletter delves into the importance of these three parameters, elucidating how they