import numpy as np # Given current stock price current_price = 163.02 # Simulate future stock prices num_samples = 1000 # You can adjust this number based on your needs growth_rate_samples = np.random.lognormal(mean=-0.8404, sigma=2.5, size=num_samples) future_prices = current_price * np.exp(growth_rate_samples) # Print or visualize the simulated future prices print(future_prices) i cant get an answer , im keeping errors

import numpy as np # Given current stock price current_price = 163.02 # Simulate future stock prices num_samples = 1000 # You can adjust this number based on your needs growth_rate_samples = np.random.lognormal(mean=-0.8404, sigma=2.5, size=num_samples) future_prices = current_price * np.exp(growth_rate_samples) # Print or visualize the simulated future prices print(future_prices) i cant get an answer , im keeping errors

EBK JAVA PROGRAMMING

9th Edition

ISBN:9781337671385

Author:FARRELL

Publisher:FARRELL

Chapter9: Advanced Array Concepts

Section: Chapter Questions

Problem 4GZ

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