Prashant Parab

CEO

India9 yrs 9 mos experience

Most Likely To Switch

Key Highlights

PhD in Macroeconomics with strong research background.
Published multiple research articles in reputable journals.
Expertise in empirical macroeconomics and monetary policy.

Stackforce AI infers this person is a macroeconomic research analyst with expertise in empirical analysis and monetary policy.

Contact

Skills

Core Skills

EconomicsGlobal MacroEconometricsMacroeconomics

Other Skills

Academic WritingEconometric ModelingInternational FinanceBloombergHaverStatistical Data AnalysisTime Series AnalysisMachine LearningEconometric ToolsQuantitative ResearchReport WritingRStudioPython (Programming Language)ForecastingAnalytical Skills

About

Prashant is working as a Research Analyst at State Street, Bengaluru. His job includes conducting extensive research in global macroeconomic and sustainability issues and publishing detailed analytical reports for multiple clients. He previously worked at DE Shaw as a Lead Economic Analyst at D E Shaw. Prior to that, he worked in model validation at Credit Suisse. He is a PhD Graduate in Macroeconomics and Central Banking from IGIDR, Mumbai, under the supervision of Prof. Ashima Goyal, former Monetary Policy Committee member, Reserve Bank of India, former member - PM Economic Advisory Council. He has worked on the empirical analysis of the expectations channel of monetary policy transmission in India, using survey-based datasets. He is acquainted with a broad range of economic issues, especially in emerging markets. He has conducted research on the recent advances in empirical macroeconomics, monetary policy, and central banking with a stronghold over statistical toolboxes and softwares. His areas of interest include empirical macroeconomics, dynamic macroeconomic modeling and machine learning.

Experience

9 yrs 9 mos

Total Experience

2 yrs 5 mos

Average Tenure

3 yrs

Current Experience

State street

2 roles

Senior Manager

Apr 2026 – Present · 1 mo

Manager

May 2023 – Present · 3 yrs

Academic WritingEconometric ModelingEconomicsGlobal MacroInternational Finance

The d. e. shaw group

Lead Analyst

Sep 2022 – Apr 2023 · 7 mos · Hyderabad, Telangana, India · On-site

BloombergHaver

Credit suisse

Assistant Vice President

Nov 2021 – Sep 2022 · 10 mos · Mumbai, Maharashtra, India

Indira gandhi institute of development research

4 roles

Graduate Research Assistant

Jan 2021 – May 2021 · 4 mos

I was a research assistant to Dr. Rajeswari Sengupta, IGIDR, Mumbai. As a part of this program, I undertook machine learning on R Studio for quantitative data as well as text analysis for various documents of RBI. I also conducted cross country analysis on international finance using advanced statistical toolboxes in RStudio.

Graduate Research And Teaching Assistant

Jun 2019 – Dec 2020 · 1 yr 6 mos

I was a research and teaching assistant to Prof. Ashima Goyal, IGIDR, Mumbai. As a part of the Research Assistantship program, I implemented advanced data cleansing methods to generate new datasets from disaggregate data for the purpose of prospective research. I also conducted lectures for Post Graduate students teaching Time Series Analysis in RStudio. I have a co-authored publication in the Economic and Political Weekly during this time.

Graduate Research And Teaching Assistant

May 2017 – May 2019 · 2 yrs

I have worked as a research assistant for two years under Dr. Taniya Ghosh and have three publications in Economic Modelling, Applied Economic Letters and Journal of Behavioral Finance. As a part of my Reasearch Assistantship program, I have cleansed and assimilated unstructured data from IMF IFS, RBI, World Bank and ILO into a consolidated data to be used for prospective research. I have also conducted lectures for Post Graduate students teaching empirical macroeconomic analysis using Stata and E-views.

Researcher PHD Student

Jul 2016 – Nov 2021 · 5 yrs 4 mos

Thesis title: Evolution of Expectations Channel of Monetary Policy Transmission: An Indian Experience (Supervisor: Prof. Ashima Goyal).
Description: I empirically examine the evidence of expectations channel of monetary policy transmission in India using survey-based datasets measuring inflation expectations of households and professional forecasters, and suggest policy implications to strengthen the transmission process especially during the flexible inflation targeting (FIT) regime in India – using time-series econometric tools (SVAR, Historical Decomposition, Scenario Analysis, Sign-restricted VAR, GMM-IV), limited dependent variable analysis (Ordered Logit Model), machine learning algorithms (text-analytics), and epidemiological models.
Over the course of PhD, I got out five publications (4 journal articles and 1 book chapter), which constitute a part of my PhD. Two more are still in the process of publication. The PDFs of all the published pieces are attached herewith.