Author:
Biantoro Reyhan Akbar, ,Rahadi Raden Aswin,
Abstract
Indonesia is home to 22% of the world’s nickel deposits, and its restriction on nickel ore exports since 2020 has resulted in significant changes to the supply chains of vital items such as electric vehicles and the stainless steel sector. Approximately 75% of nickel is used in the manufacturing of stainless steel, the most common use of nickel. However, nickel is also essential for the fabrication of electric vehicle (EV) battery cathodes, which are required for the shift to green energy. Current EV battery demand accounts for around 7% of worldwide output, but anticipated increases in EV demand will result in an exponential increase in nickel demand. The exponential increase in nickel demand led to volatility in global nickel prices. Volatility in global nickel prices is affecting companies that operate nickel mining businesses. PT Vale Indonesia Tbk (INCO) is listed on the Indonesia Stock Exchange as one of the nickel mining firms operating in the nickel mining business (IDX). The volatility of the global nickel price is both a breath of fresh air and a problem for the firm. INCO may also participate in and benefit from the rising worldwide demand for nickel in the foreseeable future. The primary objective of this study is to evaluate the intrinsic value of a nickel mining company in order to assist investors in making decisions in the current market environment. Evaluation of financial performance over the last five years and projections for the next five years using absolute and relative valuation methodologies. The author suggests investors to purchase this stock using a risk-reward assessment suited to each investor’s circumstances and the potential return earned. Referring to the stock valuation evaluation, investors are recommended to purchase if the price of INCO falls below the range of IDR 6,051 to IDR 6,335. When the market price is inside and above the intended range, it is not advisable for an investor to purchase INCO.
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1 articles.
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1. Analyzing Nickel Stock Price Prediction: A Comparative Study of Long Short-Term Memory and Convolutional Neural Network Models;2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT);2024-07-04