Beenish Kayani · imagine-talent

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Academic

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CGPA

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Year

2019

Education

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Career

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Skills

GARCH model, ARMA, ARIMA, mixed data sampling technique, macroeconomic variables, forecasting, simulation

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

Group Members: Beenish Kayani (19i-0001)

In-Sample and Out-Sample Estimation for Forecasting Pakistan Stock Market Volatility Using Macroeconomic Variables

Objective: Empirically analyze the macroeconomic factors affecting Pakistan's stock market performance and its volatility. Forecast stock market volatility and devise policies.

Framework: Oil Price, Interest Rate, Exchange Rate, Money Supply, Inflation, Remittance, Foreign Direct Investment, Industrial Production Index

Group Members: Faizan Ul Haq Siddiqui (19i-0262), Beenish Kayani (19i-0001), Zarak Khan (19i-0218), Hashir Chaudhry (19i-0236)

AI enrichment

Beenish Kayani is a student who participated in a group research project analyzing macroeconomic factors affecting Pakistan's stock market volatility. The project involved empirical analysis and forecasting using variables such as oil prices, interest rates, and inflation.

Skills (AI)

["Macroeconomic Analysis", "Stock Market Volatility Forecasting", "Empirical Research", "Policy Development"]

Status: ai_done

Provenance

Source file: FAST - School of Management -Graduate Directory-2023.pdf
From job #16 page 63
Created: 1778115706