Cyclical Nature of Storage Chip Prices

This study focuses on the cyclic trend of storage chip prices, which are influenced by such factors as technological upgrades, macroeconomic policies, and global demand and supply size. To be specific, through the history of a few major semiconductor manufacturers including Samsung and Micron that provide historical data, plus macroeconomic indicators such as GDP growth, inflation, and global trade conditions, the study uses the time series analysis that includes the ARIMA model to recognize the price cycles as regular events. Apart from time series analysis, the regression models were used to ascertain the influence of the macroeconomic variables in price fluctuations. The results concluded that storage chip prices follow a certain pattern, meaning that periods of economic growth cause price hikes facilitating investment opportunities while recessions open up possibilities for long term buyoffs at low prices. The scholars noted that traditional econometric models are helpful, but it is also notable to provide real time market evaluations and see new technologies that the entrepreneur should be aware of their forecast future price trends. In general, the fundamental ground for investors to deal with the fluctuation of the semiconductor market that is based on these cyclical trends is presented in the paper.

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Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2024-12-26
DOI
https://doi.org/10.54254/2754-1169/2024.18803
Primary Topic
Economic theories and models
Type
article
Field-Weighted Citation Impact
0.00
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article

Cyclical Nature of Storage Chip Prices

Xi Wang
Advances in Economics Management and Political Sciences
Economic theories and models
article

Cyclical Nature of Storage Chip Prices

Xi Wang
article en

Abstract

This study focuses on the cyclic trend of storage chip prices, which are influenced by such factors as technological upgrades, macroeconomic policies, and global demand and supply size. To be specific, through the history of a few major semiconductor manufacturers including Samsung and Micron that provide historical data, plus macroeconomic indicators such as GDP growth, inflation, and global trade conditions, the study uses the time series analysis that includes the ARIMA model to recognize the price cycles as regular events. Apart from time series analysis, the regression models were used to ascertain the influence of the macroeconomic variables in price fluctuations. The results concluded that storage chip prices follow a certain pattern, meaning that periods of economic growth cause price hikes facilitating investment opportunities while recessions open up possibilities for long term buyoffs at low prices. The scholars noted that traditional econometric models are helpful, but it is also notable to provide real time market evaluations and see new technologies that the entrepreneur should be aware of their forecast future price trends. In general, the fundamental ground for investors to deal with the fluctuation of the semiconductor market that is based on these cyclical trends is presented in the paper.

Advances in Economics Management and Political SciencesVol. 138(1)
University of California, Irvine (US)
Decent work and economic growth
Openalex Percentile: Top 70%
Economic theories and models
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Cyclical Nature of Storage Chip Prices — Xi Wang · Advances in Economics Management and Political Sciences (2024) | TGRS Research Map | TGRS