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Warda Fatima

FAST · 2023
Email
wardah.fatima@hotmail.com
Phone
+923315859590
LinkedIn
https://www.linkedin.com/in/warda-fatima-4153185b
GitHub

Academic

Program
CGPA
Year
2023
Education
Address
DOB

Verbatim text

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Warda Fatima
+923315859590, wardah.fatima@hotmail.com
H-834, Lane 4, Humayun Road, Rawalpindi
LinkedIn: https://www.linkedin.com/in/warda-fatima-4153185b
Education
Bachelor of Science (Accounting and Finance) 2024
Major: Accounting and Finance
Roots IVY International College 2019
‘A- Levels (Social Sciences)
Roots School System 2015
Matriculation (Computer Science)
[Projects
Final Project: Effectiveness Of Monetary Policy Through Exploring Monetary Policy Transmission Channels.
To analyze the effectiveness of monetary policy through different monetary policy channels and evaluate its impact on
growth and inflation.
Semester Projects
e Strategical Analysis: Highnoon Laboratories
Evaluating the current internal and external strategies of the business and success-restricting barriers by using SWOT,
PESTLE analysis, Porter Five Force analysis, EFE, and IFE Matrix.
e Ali Asghar Textile Mills
Performed detailed Liquidity, Efficiency, Profitability, and Solvency & Turnover analysis on the financial statements.
Forecasting financial failure (Z-scores) along with vertical and horizontal analysis.
e Financial Services Stocks Volatility Germany
In-depth analysis and heteroscedasticity, multicollinearity, regression, and autocorrelation on the data. Carried out tests
‘such as ARCH, GARCH, EGARCH, and MGARCH (unit root test/ARMA).
Work Experience
Experia Intern (Business Solutions) at PTCL Group (PTCL & Ufone) Aug 2022 - Sep 2022
Finance Intern at Askari Bank Jul 2018 - Jul 2018
Skills & Tools
Professional Skills Leadership, Team Management, Technical Proficiency and Adaptability,
Technical Skills MS- Word, MS PowerPoint, MS Excel, MS Access, EViews & SPSS
Achievements
ice Head Marketing — Takhleeq Arts & Music Society
Training / Certification
Marketing Course from Meditechx
Experia Program by PTCL Group
Activities
Organizing societal interviews
Financial Management of departmental events
Interests
Recruitment, Networking, Data Analysis, Employee Branding & book-keeping.
FAST SCHOOL OF
MANAGEMENT
Final Year Projects
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“Recreational Rooftops”
A feasibility study on converting underutilized rooftops into Rooftop
Sports Arenas
currently available. The study shows that there is a growing demand for sports facilities in urban
areas, where space is limited, and unused rooftops present a unique opportunity for sports
enthusiasts.
The project proposes to target major urban centers in Rawalpindi and Islamabad, where the
demand for sports facilities is high. The proposed arenas will be designed to accommodate a range
of sports, including football, volleyball, and cricket, to cater to a diverse audience.
One of the unique features of the project is the incorporation of a booking app that enables users
to reserve specific time slots for their preferred sports activities. The app will provide a convenient
and user-friendly interface that allows customers to book their slots easily, pay for their
reservations online, and receive notifications regarding their bookings. Additionally, the project
proposes to offer specific time slots for females to ensure inclusivity and provide a safe and secure
environment for all.
The feasibility study includes an in-depth analysis of the project's financials, including estimated
costs, revenue streams, and return on investment. The study shows that the project has the
potential to generate significant returns for investors over a five-year period.
Overall, the Rooftop Sports Arena project presents an innovative and profitable opportunity for
not only provide much-needed sports facilities but also contribute to the development of urban
infrastructure and create new job opportunities.
Area of Study:
About
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Mugeet Alam (119 - 0232)
Mohammad Waaiz Beyg (119-0268)
Change Approach
The stock market is among the most dynamic financial marketplaces, actively contributing to
market. It has grown in recent years, both in terms of the number of participants and market
valuation. Because PSX is still in its early stages, researchers are continuously investigating many
elements of it. In this study we examine the empirical nexus between the stock market index and
its determinants i.e., exchange rate, gold prices, oil prices. The data will be time series collected on
daily basis for the period of 15t January 2010 to 315t August 2022 from PSX-100 index. The data will
be analyzed by using Markov Regime Switching and Bai Perron structural change approaches to find
the breaks in the data. The results and overall conclusions will be provided once the research is
complete.
DETERMINANTS OF PAKISTAN STOCK MARKET
RETURNS USING STRUCTURAL CHANGE APPROACH
SUPERVISOR
DR. MUHAMMAD YASIR
eel
THEORETICAL FRAMEWORK
ES GS Se rao Sealy
Finance
Supervisor Name:
Dr. Muhammad Yasir
Group Members:
Hareema Zubair (191-0216)
Malaika Tahir (191-0241)
Rameen Zulfiqar (191-0229)
GROUP MEMBERS
HAREEMA ZUBAIO 113/-0206) | MALAIKA TAHIR (1-026! | RAMEEN ZULFIQARIE®-0229)
Effectiveness of Monetary Policy through exploring Monetary Policy
Transmission Channels
The channels of Monetary policy transmission may or may not be able to generate the desired
goals for monetary authorities due to their respective effectiveness. Therefore, policymakers
require an understanding of the working of these channels to be able to gauge the effect and
timing of their decisions on true economy (Cevit and Teksoz, 2012). Theoretically, the impulses of
monetary policy are transmitted to real economy through its various channels (Mishkin, 1996).
However, existing literature has not fully explored the eventual impact of these channels on the
ultimate variables of inflation and output (Tran, 2018). Our study will be focused on assessing the
channels of monetary policy in a coherent framework and then test their comparative efficiency
one at a time by limiting all of the other channels.
Given our focus on inflation, we will target the interest rate, credit, asset price and exchange rate
channels to study the effect of monetary policy impulses on inflation and output using SVAR.
Along with that, we will trace the evolution of monetary policy through these channels over a
period of time. Our research is especially directed at South Asian economies as they are facing
climbing commodity prices, and vulnerabilities in their financial sectors. These South Asian
help policymakers in achieving flexible inflation targeting and sustainable economic growth.
EFFECTIVENESS OF MONETARY POLICY
THROUGH EXPLORING THE MONETARY
POLICY TRANSMISSION CHANNELS
Oex
SUPERVISOR) DR, AYUB SIDDIQUI
Area of Study:
Finance
Supervisor Name:
Dr. Muhammad Ayub Siddiqui
Group Members:
Saad Amir (i19 - 0201)
Maryam Ghani (i19 - 0207)
Asma Arshad (i19 - 0217)
GROUP MIMBERS
BAAD AMIR *i0201 | ASMAARSHAD 191-0217 Warda Fatima (i19 = 0230)
MARYAMGHAMI "90207 WARDAFATIMA 191-0230
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baggy SLAMABAD CAMPUS TA )
Examining Market Efficiency with Day-of-the-Week Anomaly for
Calendar anomaly has been studied globally and its presence in various developed markets has
been confirmed through numerous researches. The purpose of this study is to check the day-of-
2006 is calculated using the “Free-Float Market Capitalization” methodology; hence it provides
great liquidity to companies included on it. We aim to study how DOW anomaly affects most
companies listed on KSE 30 index. The results will be providing insights on which trading day is
best to buy and sell shares for these companies.
EXAMINING MARKET EFFICIENCY WITH DAY-OF-THE-WEEK
ANOMALY FOR LIQUID STOCKS: EVIDENCE FROM PAKISTAN,
OBJECTIVE
SUPERVI

AI enrichment

Warda Fatima is a 2024 graduate with a Bachelor of Science in Accounting and Finance, possessing internship experience in business solutions and banking. She demonstrates strong analytical capabilities through academic projects involving financial modeling, statistical analysis, and feasibility studies.
Skills (AI)
["Financial Analysis", "Statistical Modeling", "EViews", "SPSS", "SWOT Analysis", "PESTLE Analysis", "MS Excel", "Financial Forecasting", "Data Analysis", "Report Writing"]
Status: ai_done
Provenance
Source file:
Created: 1777726227