STRUCTURE, BEHAVIOR, AND MARKET PERFORMANCE ON MARKETING OF PATCHIE OIL IN BUKUT VILLAGE, TERANGUN DISTRICT GAYO LUES DISTRICT

Patchouli (Pogostemon cablin Benth) is an essential oil-producing plant which is a source of foreign exchange for the country. Indonesia is currently the world's producer of patchouli oil with a contribution of 90%, for that it is necessary to maintain market opportunities by increasing production through appropriate cultivation techniques, improving the quality of patchouli oil and developing patchouli plantings in areas that have bright prospects seen from the level of suitability. land and climate.The purpose of this study was to determine market structure, market behavior (various forms of collusion) and market appearances that occurred in the marketing of nimal oil in Bukut Village, Terangun District, Gayo Lues Regency. The data used are primary data and secondary data, for market participants, snowball sampling is used. The method used to analyze the market structure is Concentration Ratio analysis tools (Market Share, Herfindal Index and Concentration Ratio for Biggest Four or ), Degree of Product Differentiation, Barriers to Market Entry and Level of Market Knowledge. To analyze Market Behavior, it is descriptively analyzed about collusion and strategies that occur. To analyze the Market Performance used the analysis tools of Marketing Margin, Share Price, and Cost and Profit Ratio.〖CR〗_4.Market share at the collector levelthere is an oligopoly marketing system for patchouli oil with loose concentration. The concentration of buyers in marketing patchouli oil in Bukut village, both collectors, village collectors, and representative warehouses/ wholesalers is oligopsony. The marketing structure of Patchouli Oil in Gayo Lues, at the level of collector traders is a loose oligopoly with a CR4 value of 0.5421, at the level of a village collector it is a tight oligopoly with a CR4 value of 0.8855, while at the warehouse representative/ wholesaler level it is a tight oligopoly with a CR value, reaching 1.00. should have a value of 1.00 is a monopoly, but because there are still three competing companies, it is categorized as a strict oligopoly.

Stock Indices Breakdown during the Pandemic as the Most Dynamic Bear Market in History: Consequences for Individual Investors

The breakdown of stock indices is an obvious part of the financial market cycle. A common question about a bear market is the time and the depth of the downtrend, as well as the speed of the following recovery. As the COVID-19 pandemic spread globally, it induced huge price drops in a very short period, and an uptrend with new historical highs afterwards. The results of this research show that the pandemic breakdown was the fastest bear market in history; however, it does not confirm that future downtrends will be at the same or even greater speed. The consequences for individual investors have forced them to prepare for possible similar market behavior in the future, and to adjust their trading techniques and strategies to these conditions.

Does the real estate market behavior predict the trust crisis in the financial sector? The case of the ECB and the Euro

Research background: Based on the history of financial crises, real estate market behavior could be thought of as a key benchmark of trust shifts in the financial sector of the economy. Plunging real estate asset prices accompanied by the financial "bubbles" explosion could be viewed as the harbinger ? even the cause ? of the public trust crash in the financial sector. Purpose of the article: This study intends to assess the extent to which the real estate market behavior determinants, along with financial sector consumers' feelings, are able to predict trust crises in the financial sector, namely to its primary institutions ? European Central Bank and the Euro. Methods: In order to estimate the probability of a trust crisis in the financial sector, two logistic regression logit models were developed based on two types of dependent variables as they reflect trust violations in the financial system primary institutions ? net trust in European Central Bank (Model I) and net support for the Euro (Model II). The research was conducted on quarterly panel data of the EU countries from the euro area covering the period from 2000 to 2019. Logit regressions employed for data processing and analysis were performed in the computational system STATISTICA. Findings & value added: The logit-modeling results show that determinants of irrational real estate buyers' behavior are powerless in predicting the escalation of the trust crisis in the Euro. However, binary models of real estate market behavior could be successfully used to predict the probability of the trust crisis in the European Central Bank. The results show that real house price indices, price to income ratio, price to rent ratio, and rent prices accompanied by the financial sector consumers' feelings are statistically significant, providing the best distribution between the normal times and periods of trust crisis in the European Central Bank. Irrational real estate market behavior may indicate serious problems in the trust violations in the European Central Bank, and it should be a signal for policymakers to take actions towards more efficient financial and real estate market regulation following the behavioral approach.

The dynamics of cryptocurrency market behavior: sentiment analysis using Markov chains

PurposeThe authors examine cryptocurrency market behavior using a hidden Markov model (HMM). Under the assumption that the cryptocurrency market has unobserved heterogeneity, an HMM allows us to study (1) the extent to which cryptocurrency markets shift due to interactions with social sentiment during a bull or bear market and (2) the heterogeneous pattern of cryptocurrency market behavior under these two market conditions.Design/methodology/approachThe authors advance the HMM model based on two six-month datasets (from November 2017 to April 2018 for a bull market and from December 2018 to May 2019 for a bear market) collected from Google, Twitter, the stock market and cryptocurrency trading platforms in South Korea. Social sentiment data were collected by crawling Bitcoin-related posts on Twitter.FindingsThe authors highlight the reaction of the cryptocurrency market to social sentiment under a bull and a bear market and in two hidden states (an upward and a downward trend). They find: (1) social sentiment is relatively relevant during a bull compared to a bear market. (2) The cryptocurrency market in a downward state, that is, with a local decreasing trend, tends to be more responsive to positive social sentiment. (3) The market in an upward state, that is, with a local increasing trend, tends to better interact with negative social sentiment.Originality/valueThe proposed HMM model contributes to a theoretically grounded understanding of how cryptocurrency markets respond to social sentiment in bull and bear markets through varied sequences adjusted for cryptocurrency market heterogeneity.

COVID-19 pandemic sentiment and stock market behavior: evidence from an emerging market

PurposeThis study aims to examine the relationship between pandemic sentiment (PS) and stock market returns in an emerging order-driven stock market like India.Design/methodology/approachThis study uses nonlinear causality and wavelet coherence techniques to analyze the sentiment-returns nexus. The analysis is conducted on the full sample period from January to December 2020 and further extended to two subperiods from January to June and July to December to investigate whether the associations between sentiment and market returns persist even several months after the outbreak.FindingsThis study constructs two novel measures of PS: one using Google Search Volume Intensity and the other using Textual Analysis of newspaper headlines. The empirical findings suggest a high degree of interrelationship between PS and stock returns in all time-frequency domains across the full sample period. This interrelationship is found to be further heightened during the initial months of the crisis but reduces significantly during the later months. This could be because a considerable amount of uncertainty regarding the crisis is already accounted for and priced into the markets in the initial months.Originality/valueThe ongoing coronavirus pandemic has resulted in sharp volatility and frequent crashes in the global equity indices. This study is an endeavor to shed light on the ongoing debate on the COVID-19 pandemic, investors’ sentiment and stock market behavior.

Respons Perilaku Pasar Terhadap Teknologi Informasi di Indonesia dalam Tinjauan Ekonomi Islam

The market behavior response to the rapidly growing information technology in Indonesia is forcing the market to adapt quickly. In the digital era 4.0, there have been quite extreme changes in business models. Even the giant companies have gone out of business. In the perspective of Islamic economics this phenomenon continues to be studied. In one condition, business growth is growing very fast and on the other hand the fatwas of the ulama are often left behind. This qualitative research is presented with a phenomenological approach and sharia compliance. The data analyzed are secondary data related to the latest facts about the information technology market. The author uses the theory of market behavior change to strengthen this argument. In principle, Islam always gives appreciation to technological developments that aim to facilitate human work, as long as these facilities do not violate the forbidden boundaries. In the perspective of Islamic economics, the focus is on the business schemes that are run and the muamalah contracts that are used whether they meet the requirements and pillars or not. If the conditions and pillars are met then the business can be run. Simply put, please do business using advanced technology but still comply with sharia principles.