ANALYSIS OF SUPPLY CHAIN CRUDE PALM OIL (CPO) IN KUANTAN SINGINGI DISTRICT

The purpose of this study was to analyze the supply chain management of CPO in Kuantan Singingi a stream of goods (goods flow), the flow of money (money flow) and the flow of information (information flow), and knowing factors that affect the smoothness of the CPO supply chain. The research method used is descriptive qualitative. This study uses primary data and secondary data. Primary data is in the form of data obtained from the company, interviews with stakeholders (farmers, the Department of Agriculture, Association of Indonesian oil palm farmers and other parties), who are involved either directly or indirectly in the CPO supply chain in the company, while secondary data is in the form of journals and other documents. The flow of goods in the CPO supply chain consists of suppliers, including independent smallholders and smallholders who sell FFB to collectors. These company nuclei are directly brought to the palm oil mill. Then the factory processes the FFB into CPO and is sent to several companies that process derivative products. The financial flow starts from consumers to farmers in cash and non-cash. The flow of information begins from farmers to consumers who provide information in FFB selling prices and CPO prices. Transportation is one factor affecting the smooth supply chain of CPO in Kuantan Singingi District.

Detecting Roles of Money Laundering in Bitcoin Mixing Transactions: A Goal Modeling and Mining Framework

Cryptocurrency has become a new venue for money laundering. Bitcoin mixing services deliberately obfuscate the relationship between senders and recipients, making it difficult to trace suspicious money flow. We believe that the key to demystifying the bitcoin mixing services is to discover agents’ roles in the money laundering process. We propose a goal-oriented approach to modeling, discovering, and analyzing different types of roles in the agent-based business process of the bitcoin mixing scenario using historical bitcoin transaction data. It adopts the agents’ goal perspective to study the roles in the bitcoin money laundering process. Moreover, it provides a foundation to discover real-world agents’ roles in bitcoin money laundering scenarios.

Money flow network among firms’ accounts in a regional bank of Japan

In this study, we investigate the flow of money among bank accounts possessed by firms in a region by employing an exhaustive list of all the bank transfers in a regional bank in Japan, to clarify how the network of money flow is related to the economic activities of the firms. The network statistics and structures are examined and shown to be similar to those of a nationwide production network. Specifically, the bowtie analysis indicates what we refer to as a “walnut” structure with core and upstream/downstream components. To quantify the location of an individual account in the network, we used the Hodge decomposition method and found that the Hodge potential of the account has a significant correlation to its position in the bowtie structure as well as to its net flow of incoming and outgoing money and links, namely the net demand/supply of individual accounts. In addition, we used non-negative matrix factorization to identify important factors underlying the entire flow of money; it can be interpreted that these factors are associated with regional economic activities. One factor has a feature whereby the remittance source is localized to the largest city in the region, while the destination is scattered. The other factors correspond to the economic activities specific to different local places. This study serves as a basis for further investigation on the relationship between money flow and economic activities of firms.

Mutual Funds: An Outrageous Progression in Investment

Mutual funds are the key factor for the financial arbitrator. Corporations, governments, and individual investors are benefitted out of mutual funds on a large scale. Mutual funds seem to be an attractive scheme of investment among society. The new money flow in terms of investment yields enhanced results in mutual fund investment. Mutual funds attract small investors to benefit greatly due to diversified capabilities. Shareholders are benefited through mutual funds in numerous ways. This paper tries to analyse the importance of mutual funds and their need in this current scenario. Further, this paper also tries to investigate the ways in improving the growth of mutual fund investment plans among the public.

Investor Sentiment by Money Flow Index and Stock Return

Factors affecting stock prices have been studied by many scholars on different stock markets. However, the number of empirical studies applying technical analysis indicators to measure investor sentiment is quite limited. To explore this interesting topic, this study uses the Money Flow Index (MFI) indicator to measure an investor's sentiment by various thresholds and to test its effect on the excess return on Vietnam stock market. Data series including market, interest rate, finance and transaction data of 138 companies listed on the Ho Chi Minh City Stock Exchange from 2015 to June 2020 are used in the equations Regression. The study's findings show that, after controlling for market factors, individual characteristics and liquidity of each company, investor sentiment as measured by the MFI indicator still has a significant impact on the return of stocks at all thresholds. In addition, when the MFI value area is near the starting and ending point of the scale (less than 20, greater than 80), the regression coefficients of these two thresholds and control variables both increase compared to the remaining models, return and significant effect to the excess return of the securities.

Supply Chain Performance of Organic Red Rice through PT Lingkar Organik Indonesia in Special Region of Yogyakarta Indonesia

This study aimed to describe the relationship structure of organic red rice supply chain and measure the supply chain performance through PT Lingkar Organik Indonesia. The number of respondents in this study was 97 people, consisting of 30 farmers, one trader, one director of PT Lingkar Organik Indonesia, four retailers, one industrial consumer, and 60 household consumers. This study employed a descriptive analysis. The results showed that the organic red rice supply chain’s relationship structure consisted of nine actors forming five chains and having different activities. The actors consisted of farmers, trader, PT Lingkar Organik Indonesia, Pamella Supermarkets, Maga Swalayan, Progo Store, Mirota, Panti Rapih Hospital, and household consumers. In terms of continuity flow, the supply chain performance of organic red rice comprising the product flow, money flow, and information flow as a whole, has not been going well. It was because there were still quite smooth flows, including product flow and information flow. The best performance was the chain formed from farmers, trader, PT Lingkar Organik Indonesia, and Panti Rapih Hospital.

Sentiment and Stock Returns: A Case for Conventional and Islamic equities in Pakistan

The study constructs market sentiment index over the period from August 2009 to June 2019 and examines the causality between market sentiment and returns for conventional and Islamic stocks in Pakistan. Using the firm-level data for all stocks listed on Pakistan Stock Exchange, market sentiment index is constructed as the first principal component of six variables: advances-to-decline, premium on dividends, price-to-earnings, relative strength, money flow and turnover rate. We employ the Vector auto-regression model to examine the two-way causal relationship between investor sentiment and aggregate stock return. Our results show that market sentiment has strong predictive power for subsequent conventional stock returns. Sentiment based trading actions of the investors cause persistence in conventional stock returns for one month; however, as these stocks become overpriced, the price movement reverses in two months’ time. In contrast, we do not find any significant association between market sentiment and Islamic stock returns. Our findings are suggestive of different dynamics and investor behavior in Islamic financial markets of Pakistan and along with the existing literature documenting Islamic stocks performance to be at least as good as the conventional stock can be a comfort to the Muslim Investors and may serve as the catalyst to stimulate the growth of Islamic equities.

Análisis de rentabilidad e impacto económico del uso de clembuterol de productores de bovino en Morelos, México

In the present investigation, the evaluation carried out with different methods served to determine the level of production and the economic competitiveness of livestock projects. The evaluation of the project aims to identify the advantages and disadvantages associated with the investment, so the implemented analysis method is useful for making rational decisions regarding different alternatives, especially when a development program is involved in the project, such as This is the case of the "Reliable Supplier" Program in livestock farming. Methods used that served to provide more accurate information on the generation of income and the level of competitiveness of companies, is the financial analysis and evaluation. Only the monetary aspect of the project is considered, with the objective of determining its profitability in terms of money flow. The research starts from the study of the “Reliable Supplier” Program, which focuses on the eradication of the use of Clenbuterol in animal feed, making meat producers aware of the importance of developing procedures that reduce the potential of contaminants in food, that can damage the final product, and that generate a health problem for consumers.

The Effect of Fund and Family Characteristics on Islamic Mutual Fund Flows: Evidence from Saudi Arabia

Islamic mutual funds (IMF) are growing as a substitutional investment vehicle for investors who want to combine value and financial objectives in their investment. A group of the funds is managed by one Investment Company called the family of funds. This study investigates the flow-performance relationship in IMF, in addition to the extent to which family and fund characteristics contribute to explaining fund flows in Saudi Arabia for the period from 2007 to 2017. The study uses raw returns to calculate the fund performance and use the percentage money flow (FLOW), defined as money flow scaled by the total net asset of the fund. The results show there is a positive relationship between past performance and fund flow that mean IMF investors make rational financial decisions by directing fund flows to better performing funds. In addition, the results show family characteristics have an impact on IMF inflow.

Corruption’s Motley Foes

While some political heavyweights used anticorruption campaigns to go after their enemies, many of the battles against oil sector corruption ended in true success. More and more, anticorruption actors are working across borders, just like the corruption they’re trying to fight. Foreign governments stepped up their enforcement of antibribery laws and debuted innovative tools for stemming the flow of dirty money. International networks of journalists exposed corruption on an unprecedented scale, and activists pushed an ambitious transparency agenda. Even the international enablers of corruption—those bankers, lawyers, and accountants who help the dirty money flow—showed on occasion that they could be anticorruption heroes too.