scholarly journals Indonesian coffee exports and its relation to global market integration

2021 ◽  
Vol 4 (1) ◽  
pp. 120
Author(s):  
Fitriani Fitriani ◽  
Bustanul Arifin ◽  
Hanung Ismono
Keyword(s):  
Market Integration ◽  
Time Series Data ◽  
International Market ◽  
Global Market ◽  
Series Data ◽  
Important Indicator ◽  
International Price ◽  
Coffee Market ◽  
Test Market ◽  
Coffee Price

Coffee price is an important indicator that stimulates farmers to advance their welfare. Unfortunately, coffee crisis makes the farm gate price uncertain and volatile. This study aims to explore the Indonesian coffee export situation related to price risks and coffee market integration between Indonesian coffee price and international price. The time series data were the coffee price from 1987 to 2014 in Indonesian domestic market and in global trade in London. Vector Error Correction Model (VECM) approach was applied to test market integration based on Ravallion’s equation. Based on the analysis, the results of the study revealed that Indonesian coffee export performed progressively in the last decade. Export destination countries for Indonesian coffee also developed broadly.  There was market integration on the Indonesian coffee market and global price in the London terminal.  Although not fully, the shock in the international price was somehow felt in the Indonesian coffee market.  There were sufficient shreds of evidence to conclude that the Indonesian coffee market is well integrated with the international market in the long run. The changing coffee price in Indonesia and the International market adjusted in the next three years.  In short term, Indonesian coffee price was 76% influenced by international price changes, but not vice versa.JEL Classification D49; Q02; Q17

scholarly journals BLACK SWAN GLOBAL MARKET: ANALYSIS OF THE EFFECT OF THE COVID-19 DEATH RATE ON THE VOLATILITY OF EUROPEAN FOOTBALL CLUB STOCK PRICES (CASE STUDY OF JUVENTUS F.C., MANCHESTER UNITED, AJAX AMSTERDAM AND BORUSSIA DORTMUND)

2020 ◽  
Vol 7 (3) ◽  
Author(s):  
Franco Benony Limba ◽  
Jacobus Cliff Diky Rijoly ◽  
Margreath I Tarangi
Keyword(s):  
Time Series ◽  
Stock Prices ◽  
Time Series Data ◽  
Global Market ◽  
Bad News ◽  
Series Data ◽  
Black Swan ◽  
Financial Industry ◽  
Market Effect ◽  
European Football

Abstract: The Covid-19 pandemic that hit the world also directly affected financial markets and global stock markets; this condition in economic terminology is known as the Black Swann Global Market Effect. Black Swan Global Market Effect is also experienced by sports industries in the financial industry, the football industry. The purpose of this paper is to see whether there is an influence between the Covid-19 pandemic conditions on the share value of several major European football clubs, namely Ajax Amsterdam, Borussia Dortmund, Juventus F.C., and Manchester United, as a result of the Black Swan Global Market Effect. The data used in this paper is time-series data from March 2020 to August 2020. Meanwhile, to answer the black swan effect phenomenon, the Threshold Generalized Autoregressive Conditional Heteroskedasticity (TGARCH) method is used. The results showed that stocks that were the object of research (Ajax, Borussia Dortmund, Juventus, and Machester United) showed a large response to bad News (an increase in deaths due to covid-19). Abstrak:Pandemic covid-19 yang mengantam dunia juga secara langsung mempengaruhi pasar keuangan serta pasar saham global, kondisi ini dalam terminology ekonomi dikenal sebagai Black Swann Global Markert Effect. Black Swan Global Market Effect hal ini juga dialami industry-industri olahraga yang berada dalam industry keuangan tersebut salah satunya industry sepakbola.Tujuan penulisan ini adalah untuk melihat apakah terdapat pengaruh antara kondisi pandemic covid-19 terhadap nilai saham beberapa klub sepakbola besar eropa yaitu Ajax Amsterdam, Borussia Dortmund, Juventus FC, dan Manchester United sebagai akibat dari Black Swan Global Market Effect.Data yang digunakan dalam penulisan ini adalah data time series dari bulan maret 2020 hingga agustus 2020. Sementara untuk menjawab fenomoena black swan effect ini digunakan metode Threshold Generalized Autoregressive Conditional Heteroskedacity (TGARCH). Hasil Penelitian menunjukkan bahwa, saham-saham yang menjadi objek penelitian (Ajax, Borussia Dortmund, Juventus, dan Machester United) menunjukan respons yang besar terhadap bad news (peningkatan jumlah kematian akibat covid-19). Black Swan Global Market, Pandemi Covid-19, TGARCH Models

scholarly journals Does Equity Market Integration Exist Between Turkey and the Eurozone?

JEJAK ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 29-48
Author(s):  
Berto Usman ◽  
Nega Muhabaw Kassie ◽  
Fitra Wahyudi
Keyword(s):  
Market Integration ◽  
Time Series Data ◽  
Stock Exchange ◽  
Equity Market ◽  
Series Data ◽  
Causality Test ◽  
Stock Market Integration ◽  
Vector Autoregression Model ◽  
Dynamic Relationship ◽  
Residual Matrix

This research investigates the existence of stock market integration between Turkey and the Eurozone. In this study, the performance of Turkey’s stock exchange is proxied by the BIST100, and the EURO STOXX50 is employed as a proxy for the Eurozone index. We hypothesize that there is a dynamic relationship between Turkey and the Eurozone. Methodologically, our research was conducted by employing monthly time series data obtained from EIKON datastream International. In order to demonstrate the extent of equity market integration between Turkey and Eurozone, a vector autoregression model (VAR) was utilized. According to the results, there is no co-integration between these two equity markets. This is in line with the output of residual matrix test, where the correlation between these two market indices was found to be low. However, a Granger causality test indicated that there was a low one-way contribution from Turkey to the Eurozone index during the observation period.

Factors Influencing International Institutional Investments

2020 ◽  
pp. 195-212
Author(s):  
Akriti Gupta ◽  
Gurpreet Kaur ◽  
Mahesh Sarva
Keyword(s):  
Financial Market ◽  
Time Series Data ◽  
Trade Openness ◽  
Global Market ◽  
Series Data ◽  
Institutional Investment ◽  
Flow Of Funds ◽  
The World ◽  
International Investors ◽  
Financial Market Risk

At the turn of the 21st century, globalization of developed and developing countries in the world witnessed institutional inflows from international investors which became the main characteristic of global capital markets. The current research has assessed time-series data from 2000 to 2017 to understand how the different elements that have influenced the foreign institutional investments and helped India become a global market for such investors. The results revealed that political risk, financial market development, trade openness of the country, size of the economy, and rate of return on investment are the important determinants in attracting foreign institutional investments in India. The chapter also found economic risk and financial market risk played an insignificant role in determining foreign institutional investment in India. The findings of the research help the present government and market regulators to introduce policies aimed at increasing the flow of funds from international institutional investors.

scholarly journals GLOBAL MARKET OF PETROLEUM PRODUCTS: CURRENT STATE AND PERSPECTIVES OF DEVELOPMENT

2020 ◽  
pp. 27-39
Author(s):  
K. Bezugla ◽  
N. Kostyuchenko
Keyword(s):  
New Technologies ◽  
Time Series Data ◽  
Supply And Demand ◽  
Price Volatility ◽  
Petroleum Products ◽  
Global Market ◽  
Series Data ◽  
Total Output ◽  
Petroleum Production ◽  
The World

The paper is devoted to the peculiarities and perspectives of the global petroleum market development. The peculiarities of supply and demand formation at the global market of petroleum products are investigated in the article. The balance of supply and demand at the petroleum market is determined. The paper outlines the peculiarities of pricing for petroleum products. The dynamics of price changes on the global petroleum market in the period of 2010-2020 is studied. The conclusion was made that there is a price volatility on the global petroleum market. An analysis of the dynamics and structure of the world petroleum production by regions revealed that the total output of oil has increased due to the development of new technologies and due to the increased efficiency of petroleum production. The performed forecasting made it possible to conclude that petroleum price is expected to increase in the coming two periods. That will allow to establish a balance between supply and demand at the petroleum products’ market. Accordingly, the equalization of supply and demand for petroleum products is forecasted (even despite the crisis in the world). The econometric method of economic analysis was applied in the paper. The authors constructed an additive model for time series data to predict the dynamics of prices on the global market of petroleum products. The model was designed based on 16 observations in the period of October 2016 – July 2020.

scholarly journals PENGARUH INFLASI, SUKU BUNGA, DAN NILAI TUKAR TERHADAP INDEKS HARGA SAHAM GABUNGAN PERIODE 2016 – 2018

2021 ◽  
Vol 6 (1) ◽  
pp. 50-59
Author(s):  
Irine Melyani ◽  
Martha Ayerza Esra
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Price ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Future Research ◽  
Time Range ◽  
Important Indicator ◽  
The Interest Rate

The movement of stock price index is the important indicator for investors to determine whether the investor would sell, buy, or hold shares. The movement of CSPI is affected by several factor like macroeconomy. The purpose of this study was to determine the effect of inflation, interest rate, and exchange rate against CSPI. Theoretically, the effect of inflation, interest rate, and exchange rate is based on efficient market hyphothesis and signalling theory which inflation, interest rate and exchange rate provide signal to investor which affect their decision that cause change to CSPI. The type of data used in this study is secondary data with quantitative approach. The sampling is based on time series data from 2016-2018 using purposive sampling methodso that 36 samples are obtained. This research uses multiple uses multiple regression analysis method using SPSS 2.2. The results of this study indicate that during the period 2016-2018 inflation does not affect CSPI, the interest rate have negative affect on CSPI and exchange rate have positive affect on CSPI. Future research is expected to add another independent variable and extend the time range of the research to obtain ore accurate and comprehensive results. Keywords: Inflation, Interest Rate, Exchange Rate, Composite Stock Price Indonesia

scholarly journals The African Continental Free Trade Area and Its Employment-Generation Potentials in Nigeria’s Industrial Sector

2021 ◽  
Vol 2 (2) ◽  
pp. 21-38
Author(s):  
Oziengbe Scott Aigheyisi ◽  
Keyword(s):  
Free Trade ◽  
Time Series Data ◽  
Free Trade Area ◽  
Industrial Sector ◽  
Global Market ◽  
Series Data ◽  
Trade Area ◽  
Long Run ◽  
Short Run ◽  
Employment Generation

The study empirically examines the employment generation potentials of the African Continental Free Trade Area (AfCFTA) in Nigeria’s industrial sector. The ARDL approach to cointegration and error correction modeling is employed for analysis of annual time series data covering the period 19912020. The study finds inter alia that the short run effect of expansion of intra-African trade (expected to result from the AfCFTA) on industrial sector employment is positive and statistically significant. The long run effect is also positive, but not statistically significant. It also finds that trade openness integration of the economy with the global market – significantly enhances employment generation in the nation’s industrial sector in the long run; though the short run effect is negative and significant. These suggest that the country’s membership of the AfCFTA and implementation of policies aimed at (cautiously) deepening the integration of the economy with the global market should be considered as supplementary avenues to achieving (sustainable) employment generation in the nation’s industrial sector in the short-and long-run. Other evidence-based policy recommendations are discussed.

scholarly journals Land Use Land Cover Change and its Pathways in Sidin VDC, Panchthar District, Nepal

2018 ◽  
Vol 11 ◽  
pp. 77-94 ◽  
Author(s):  
Prem Sagar Chapagain ◽  
Mohan Kumar Rai ◽  
Basanta Paudel
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Agricultural Land ◽  
Time Series Data ◽  
Household Survey ◽  
Human Interaction ◽  
Series Data ◽  
Land Use Land Cover ◽  
Important Indicator

Land use/land cover situation is an important indicator of human interaction with environment. It reflects both environmental situation and the livelihood strategies of the people in space over time. This paper has attempted to study the land use/ land cover change of Sidin VDC, in the Koshi River basin in Nepal, based on maps and Remote sensing imageries (RS) data and household survey using structured questionnaires, focus group discussion and key informant interview. The study has focused on analysis the trend and pathways of land use change by dividing the study area into three elevation zones – upper, middle and lower. The time series data analysis from 1994-2004-2014 show major changes in forest and agricultural land. The dominant pathways of change is from forest to agriculture and forest to shrub during 1994-2004 and agriculture to forest during 2004-2014. The development of community forest, labor migration and labor shortage are found the major causes of land use change.The Geographical Journal of NepalVol. 11: 77-94, 2018

Growth Curve Analysis in Marketing: Method and Application

1988 ◽  
Vol 25 (4) ◽  
pp. 391-396 ◽  
Author(s):  
Greg J. Lessne ◽  
R. Choudary Hanumara
Keyword(s):  
Time Series ◽  
Growth Curve ◽  
Time Series Data ◽  
Curve Analysis ◽  
Series Data ◽  
Growth Curve Analysis ◽  
Short Term ◽  
Market Data ◽  
Test Market

Extant methods are incapable of analyzing the short-term time series data often encountered by marketers. The authors present a growth curve approach developed by Finn that fills a void in the array of tools available to marketing researchers. The approach is particularly useful in analyzing test-market data.

scholarly journals DAYA SAING EKSPOR PALA INDONESIA DI PASAR INTERNASIONAL

2019 ◽  
Vol 33 (2) ◽  
pp. 179-188
Author(s):  
Asrol Asrol ◽  
Heriyanto Heriyanto
Keyword(s):  
Time Series Data ◽  
International Market ◽  
World Market ◽  
Series Data ◽  
Maturity Stage ◽  
Composition Effects ◽  
Average Value ◽  
The World ◽  
Constant Market Share ◽  
Secondary Time

Indonesia is one of the largest producing and exporting countries for nutmeg commodities in the world market. Indonesia as a nutmeg exporting country is a country that imports nutmeg products. Nutmeg is one of Indonesia's leading spice export commodities on the world market. Based on the description in general, this study aims to analyze the competitiveness of Indonesian nutmeg in the world market. Specifically, this study aims to analyze the export position of nutmeg and the competitiveness of Indonesian nutmeg in the international market. The power used in this study is secondary time series data from 2007-2016. To answer the research objectives, it was analyzed using the Trade Specialization Index (ISP), Revealed Comparative Advantage (RCA) and Constant Market Share (CMS). Based on the results of the study indicate that for the position of Indonesian nutmeg exports on the world market, the average value of Indonesian ISPs on the world market from 2007-2016 was 0.988. This value indicates that the position or stage of Indonesian nutmeg export is at the maturity stage with an indicator value (0.81-1.00). Furthermore, the competitiveness of the results of the average Indonesian nutmeg RCA value on the international market which is calculated from 2007-2016 reached 19,554 because the value of Indonesian nutmeg RCA is greater than one, so Indonesia has a strong competitiveness in the export of nutmeg in the world and tends to be a country exporter rather than importer. For the CMS value of Indonesian nutmegs in the last five years period is negative on the standard growth, composition effects, and market distribution effects but the positive value on the effect of competitiveness.

scholarly journals Pengaruh Pendapatan Asli Daerah dan belanja modal terhadap pertumbuhan ekonomi Provinsi Kepulauan Bangka Belitung tahun 2009-2018

SOROT ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 105
Author(s):  
Muhammad Dedy Palguno ◽  
Devi Valeriani ◽  
Suhartono Suhartono
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Positive Impact ◽  
Capital Expenditure ◽  
Series Data ◽  
Test Results ◽  
Important Indicator ◽  
Goods And Services ◽  
Local Revenue

Pertumbuhan Ekonomi adalah salah satu indikator penting untuk melihat keberhasilan pembangunan ekonomi pada suatu negara atau daerah. Suatu perekonomian dikatakan mengalami pertumbuhan ekonomi jika jumlah produksi barang dan jasanya meningkat dan produk domestik regional bruto merupakan salah satu indikator penting untuk mengetahui kondisi ekonomi di suatu daerah dalam suatu periode tertentu baik atas dasar harga berlaku maupun atas dasar harga konstan. Tujuan Penelitian adalah untuk melihat pengaruh pendapatan asli daerah (PAD) dan belanja modal terhadap pertumbuhan ekonomi. Data yang digunakan dalam penelitian ini merupakan data time series periode tahun 2009-2018. Analisis data yang digunakan adalah analisis regresi berganda untuk melihat seberapa besar pengaruh pendapatan asli daerah dan belanja modal terhadap pertumbuhan ekonomi di Provinsi Kepulauan Bangka Belitung. Hasil Penelitian menunjukkan bahwa secara simultan variabel PAD dan belanja modal berpengaruh positif signifikan terhadap pertumbuhan ekonomi. Hasil pengujian secara parsial variabel pendapatan asli daerah berpengaruh positif signifikan terhadap pertumbuhan ekonomi dan pada variabel belanja modal hasil uji secara parsial tidak berpengaruh signifikan terhadap pertumbuhan ekonomi.Economic growth is one important indicator to see the success of economic development in a country or region. An economy is said to experience economic growth if the amount of production of goods and services increases and the gross regional domestic product is one of the essential indicators to determine the economic conditions in a region in a given period both based on current prices and constantly. The purpose of this study is to look at the effect of regional own-source revenue (PAD) and capital expenditure on economic growth. The data used in this study is Time Series data (time series) for the years 2009-2018. Analysis of the data used is multiple regression analysis to see how much influence the region's original income and capital expenditure on economic growth in the Bangka Belitung Islands Province. The results showed that simultaneous variables of PAD and capital expenditure had a significant positive effect on economic growth. The test results partially local revenue variables have a significant positive impact on economic growth. On the capital expenditure variable, the test results partly have no significant effect on economic growth.

Sign in / Sign up

Export Citation Format

Share Document