Pengembangan Kawasan Wisata pada Rest Area Boja dalam Mendukung Peningkatan Pedapatan Desa Melalui Perilaku Herding (Studi Kasus di Kawasan Wisata Rest Area Desa Boja, Kecamatan Boja, Kabupaten Kendal)

The aims of this research is to study the mindset of Herding's behavior on the income level of tourism objects through the results of tourism development in the Rest Area of Boja Kendal Village. In this study, 95 people/MSMEs. In this study, the authors used a purposive random sampling technique. The results of this study are herding behavior has a positive and significant effect on the income level of MSMEs in the Boja rest area tourist attraction. Herding behavior has no effect on tourism development decisions. The development of tourism objects has no effect on increasing income. Herding behavior has no significant effect on the income level of tourist objects through tourism area development decisions. So that the development of tourist areas is not able to mediate the influence of herding behavior on increasing MSME income in the Boja rest area tourist attraction.

Analysis of Herding Behavior in Developing Countries

When faced with market uncertainty and high volatility in financial markets, the potential for herding behavior in the stock market is likely to increase. This will cause instability in the financial market and also the economy of a country. The purpose of this study is to analyze herding behavior in the stock markets of developing countries including China, the Philippines, India, Indonesia, Korea, Malaysia, Pakistan, Taiwan and Thailand. This type of research is quantitative research and the population in this study is stocks listed on the Stock Exchanges of all developing countries with a time period from January 2016 to December 2020. The sampling method used is purposive sampling. The data used are monthly stock index data, VIX, world oil prices and the fed funds rate. Data analysis was performed through panel data regression, which is a combination of cross section and time series using the Eviews program. The results showed that there was no herding behavior in developing countries. The result of this research is that the fed fund rate has a significant effect on herding behavior in developing countries, especially in Indonesia. Keywords: Herding, Market Volatility, Oil Price, Fed Fund Rate.

Indonesian Stock’s Influencer Phenomenon: Did Financial Literacy on Millennial Age Reduce Herding Behavior?

In Indonesia's capital market, there was a phenomenon that famous influencers seem to lead to behavioral bias in the stock market. The stock price changed significantly after those stock influencers shared information or recommended certain stocks. This research examined how the stock influencer's credibility affected investors' investment in recommended stock. We collected data from 132 individual investors who participated in the research. We used a questionnaire with a 5-Likert scale. The result showed that an influencer's credibility had a significant influence on investors' herding behavior. However, there was no significant evidence that financial literacy matters in that relationship. Interestingly, we found there was no significant difference in herding behavior between millennial and non-millennial investors.

The Impact of Automated Investment on Peer-to-peer Lending

In the face of fierce competition, many peer-to-peer (P2P) lending platforms have introduced automated investment tools to serve customers better. Based on a large sample of data from PPdai.com, the authors studied the impact of automated investment on lenders’ investment behavior and platform performance. Using the propensity score matching (PSM) method, this article checks the differences of funding duration and loan performance with and without participation of automated investment tools in P2P lending. Our empirical results show that automated investment in P2P lending can significantly weaken investors’ herding behavior. The authors also found that automated investment prolongs the average funding duration of loans and undermines the platform efficiency. Furthermore, this study indicates that usage of automated investment does not affect the return on investment (ROI) in general.

The Impact of Automated Investment on Peer-to-Peer Lending

In the face of fierce competition, many peer-to-peer (P2P) lending platforms have introduced automated investment tools to serve customers better. Based on a large sample of data from PPdai.com, the authors studied the impact of automated investment on lenders’ investment behavior and platform performance. Using the propensity score matching (PSM) method, this article checks the differences of funding duration and loan performance with and without participation of automated investment tools in P2P lending. Our empirical results show that automated investment in P2P lending can significantly weaken investors’ herding behavior. The authors also found that automated investment prolongs the average funding duration of loans and undermines the platform efficiency. Furthermore, this study indicates that usage of automated investment does not affect the return on investment (ROI) in general.

Hedge Funds and Herding Behavior

This chapter examines whether hedge funds herd, how this herding occurs, and any potential market wide effects. Bringing together the mainstream finance literature and that from a more management and sociological perspective, it is shown that hedge funds herd, although there is some evidence this is less than other large institutional investors. Mechanistically, such consensus trades occur because hedge firms communicate within tight knit clusters of trusted and smart managers, who share and analyze trading positions together. This industry structure is a function of the hyper decision-making environment faced by hedge fund managers, coupled with a desire for legitimization and to maintain reputation. Finally, note that hedge fund herding can have market wide effects either directly via network risk and indirectly, as follower institutional investors amplify hedge fund trading patterns.

HERDING BEHAVIOR: MENGEKSPLORASI SISI ANALISIS BROKER SUMMARY

<p><strong><em>Abstract</em></strong><em>: Our research focuses on herding behavior and broker summary analysis in the Covid-19 time frame in Indonesia. Herding behavior in the retail exchange community or the general public is considered detrimental due to the irrationality of analysis and promoting euphoria which results in very large losses. Answering the research gap, we offer a broad exploration concept to avoid and create positive returns by utilizing the herding behavior of the retail market community. We tested using multiple methods to ensure the existence of herding behavior in a regression setting of two and took advantage of positive opportunistic returns for exchange play. The first method shows that the research sample detected herding behavior during March 11, 2020 – March 11, 202 and we ensure the resilience of existence through two models. The second method, to get a positive return, we offer bandarmology analysis adopted from Dow theory for trading in a market maker style. Analyzing the movement and following market makers, we can conclude that it creates positive returns and prevents the stock exchange community from the impact of sustainable auto rejects. This study has limitations, for future research we expect the use of empirical models that are simpler and more efficient in revealing herding behavior. Furthermore, for the exploratory method, further research can be carried out in disclosing bandarmology analysis based on stock categorization (blue chip, second liner, and third liner), time horizon of market makers, and detailed analysis of camouflage behavior of market makers using retail securities.</em></p><p><strong><em>Keywords</em></strong><em>: bandarmology</em><em>;</em><em> brokers summary;</em><em> </em><em>herding behavior; market makers </em></p>