The Effect of Contaminated Customer Expectation on Investment Decisions

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The Effect of Contaminated Customer Expectation on Investment Decisions. Vplyv kontaminovaných očakávaní zákazníkov na investičné rozhodnutie. EU PHF Košice, Katedra Hospodárskej Informatiky a Matematiky. Ing. Štefan Lyócsa, PhD. Goal of the Paper. - PowerPoint PPT Presentation

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The Effect of Contaminated Customer Expectation on

Investment Decisions

Ing. Štefan Lyócsa, PhD.

Vplyv kontaminovaných očakávaní zákazníkov na investičné rozhodnutie

EU PHF Košice, Katedra Hospodárskej Informatiky a Matematiky

GOAL OF THE PAPER

To define the robustness of an investment plan against customer data contamination

Ing. Štefan Lyócsa, PhD.

PROBLEM INTRODUCTION

• Data contamination

Ing. Štefan Lyócsa, PhD.

extreme

values

unexpected distribution

PROBLEM INTRODUCTION

• Assumption 1 Every investment project`s payoff is linked with customer expectation

Ing. Štefan Lyócsa, PhD.

• Assumption 2 For higher customer expectations it is more difficult to overwhelm these expectations

PROBLEM INTRODUCTIONData about customer expectations:

Ing. Štefan Lyócsa, PhD.

• financial decisions: to make an investment (or not) to abandon an investment to wait with an investment

Assessing the data contamination:• quantitatively & qualitatively

PROBLEM INTRODUCTION

Ing. Štefan Lyócsa, PhD.

High level of uncertaintyIs this data contaminated?

PROBLEM INTRODUCTION

Ing. Štefan Lyócsa, PhD.

true customers

contamination (different customers)

GOAL: To define the robustness of an investment plan against customer data contamination

THE MODEL

performance parameter performance parameter

f (x)

f (x)

time

time

Probably the worst case

time

performance parameter

f (x)

THE MODEL

Expected value of an investment plan conditioned to the decision maker`s expected level of achieved performance parameter i.e. How much Am I expecting to surpass customer expectations?

THE MODEL

Decision maker`s expectations

Project`svalue

Treshold point

Invest if PV>0

Don`t invest if PV>0

Decision to make

RCE

Robustness to Customer Expectations

Treshold point when customer expectations are not contaminated

The worst case scenario, the highest Treshold point, when all the data are contaminated

The best case scenario, the lowest Treshold point, when all the data are contaminated

Robust project

Not Robustproject

The Effect of Contaminated Customer Expectation on

Investment Decisions

Ing. Štefan Lyócsa, PhD.

Vplyv kontaminovaných očakávaní zákazníkov na investičné rozhodnutie

EU PHF Košice, Katedra Hospodárskej Informatiky a Matematiky

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