editor@ijefm.co.in ISSN[Online] : 2644-0504 || ISSN[Print] : 2644-0490
A Comprehensive Analysis of Logistics Strategy and Cold Chain Technology Innovation –Literature Review (Case Study: Paxel Indonesia)
1Hally Hanafiah, 2Ken Caesar BT, 3Immanuel B.D, 4Dedi Rianto Rahadi
1,4Universitas Presiden, Cikarang, Kabupaten Bekasi, Jawa Barat, Indonesia
2,3Institut Teknologi Sepuluh November, Surabaya, Jawa Timur
https://doi.org/10.47191/jefms/v7-i5-72
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ABSTRACT:

The country's economic development has a big influence on the growth and contribution of the logistics sector, especially transportation and warehousing, one of which is influenced by shopping behavior and customer lifestyle. One type of logistics distribution pattern is the cold chain, which requires companies to have a logistics strategy and cold chain technology innovation to meet customer requirements. This literature review aims to comprehensively analyze the impact of implementing logistics strategies and the use of technology in cold logistics which is different from dry logistics carried out in one of the logistics service provider companies. Evaluation of the influence of environmental factors, temperature and customer needs on design strategy choices will also be discussed in this paper. Apart from that, the literature review will answer the impact of implementing logistics strategies and supply chain technology on the quality and safety of frozen food products.

KEYWORDS:

Economic Growth, Logistic Strategy, Cold Chain, Technology Innovation

REFERENCES:

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JEFMS aims to promote interdisciplinary studies in Economics, Finance and Management. The scope of the journal encompasses research articles, reviews and short communications.

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JEFMS will publish 12 monthly issues, We publishes articles as soon as the final copy of edited version is approved. Accepts articles in all research fields of Economics, Finance And Management Studies.

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The Predictive Ability of U.S. Stock Market Skewness on Indonesian Stock Market Returns
editor@ijefm.co.in ISSN[Online] : 2644-0504 || ISSN[Print] : 2644-0490
The Predictive Ability of U.S. Stock Market Skewness on Indonesian Stock Market Returns
1Muhammad Sofian Maksar, 2Winda Sari Firdani, 3Inayah Abdillah Rabbani, 4Yuan Swastika, 5Rifqi Cipto Laksono
1,2,3,4,5Universitas Muhammadiyah Kendari, Indonesia
https://doi.org/10.47191/jefms/v7-i5-71
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ABSTRACT:

The three-moment capital asset pricing model (three-moment CAPM) suggests that the expected excess return on stocks should include compensation for skewness risk. This study aims to investigate the ability of U.S. stock market skewness to predict Indonesian stock market returns. The data used in this research includes the S&P500 Index, JCI, JII, and LQ45 from January 2001 to December 2022. The results of this study indicate that U.S. stock market skewness can predict future excess returns of the Indonesian stock market. Additionally, when the estimation model incorporates alternative variables from both the U.S. and Indonesian stock markets, the predictive ability of U.S. stock market skewness remains significant and outperforms these alternative variables. The findings of this research can be used as a strategy for investors when trading in the Indonesian stock market. When the skewness of the U.S. stock market increases, the return of the Indonesian stock market is expected to decrease in the following month.

KEYWORDS:

Intertemporal CAPM; Sample skewness; Stock market; Return; Three-moment CAPM

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Author's Desk

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Latest News

Aim and Scope

JEFMS aims to promote interdisciplinary studies in Economics, Finance and Management. The scope of the journal encompasses research articles, reviews and short communications.

Frequency of Publication

JEFMS will publish 12 monthly issues, We publishes articles as soon as the final copy of edited version is approved. Accepts articles in all research fields of Economics, Finance And Management Studies.

Call For Paper

1) Last Date of Submission : 26 November 2024
2) Article published within a week.
3) Submit Article : editor@ijefm.co.in
OR Submit Online

Jefms Indexed In