Insider Trading

2016 ◽  
pp. 51-80
Author(s):  
Tanya Nayyar
Keyword(s):  
Sri Lanka ◽  
Information Asymmetry ◽  
Insider Trading ◽  
International Market ◽  
Fiduciary Duty ◽  
Ethical Standards ◽  
Sensitive Information ◽  
The Public ◽  
Strong Ground

This chapter studies the international market malpractice of insider trading where officials holding a fiduciary duty towards the company, violate the same to utilise company specific and price sensitive information to trade in company securities before such information is announced to the public investors. Information asymmetry, gross violation of ethical standards and abuse of fairness and market integrity are the underlining terms of this offence. The chapter studies four SAARC nations of India, Pakistan, Sri Lanka and Nepal to project their working against insider trading. While countries introduce law and yet fail to enforce it, SAARC countries are encouraged through this chapter to maintain strong ground against this malady. The author projects recommendations and observations to prompt periodic statutory review.

Implementasi Asas Keterbukaan pada Pengadaan Tanah bagi Pembangunan untuk Kepentingan Umum: Antara Harapan dan Kenyataan

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Priyo Katon Prasetyo ◽  
Rosye Villanova Christine ◽  
Sudibyanung Sudibyanung
Keyword(s):  
Information Asymmetry ◽  
Case Studies ◽  
Public Interest ◽  
Economic Inequality ◽  
Land Acquisition ◽  
The Public ◽  
Land Scarcity ◽  
Library Research ◽  
Role Of Information

Abstract: Based on Law Number 2 of 2012 concerning Land Acquisition for Development in the Public Interest, the Openness Principle is one of the ten principles as the basis of the implementation of development. This principle is significant because its complex role can lead to conflicts and disputes. In this paper, discussions are divided into two parts: 1) how the implementation is expected to be applied according to the acquisition procedure in theory; and 2) the reality that occurs in the field. The first discussion was conducted by reviewing the applicable regulations and the methods or concepts of development of the openness principle. Meanwhile, the second discussion about the reality on the field was conducted by elaborating case studies regarding problems in land acquisition. The results of this study indicate that there are gaps in the implementation of the openness principle between theory and reality in regards of land scarcity, economic inequality, and information asymmetry among the involved parties. In conclusion, the implementation of the openness principle is significant with the role of information in land acquisition.Intisari: Berdasarkan Undang Undang Nomor 2 Tahun 2012 tentang Pengadaan Tanah Bagi Pembangunan Untuk Kepentingan Umum, Asas Keterbukaan adalah salah satu dari sepuluh asas yang menjadi dasar pelaksanaannya. Asas ini menjadi signifikan karena perannya yang kompleks dapat menimbulkan konflik dan sengketa. Artikel ini akan membagi pembahasan menjadi dua bagian: pertama, bagaimana implementasi yang seharusnya diterapkan pada prosedur pengadaan secara harapan, dan kedua, membahas mengenai realita yang terjadi di lapangan. Secara harapan pembahasan dilakukan dengan melakukan library research atau studi terhadap peraturan yang berlaku dan metode-metode atau prinsip perkembangan dari asas keterbukaan. Realitas di lapangan akan dielaborasi dari studi kasus mengenai permasalahan dalam pengadaan tanah. Hasil dari penelitian ini menunjukkan ada gap dalam implementasi asas keterbukaan antara harapan dan realitas di lapangan yang bersumber dari kelangkaan sumber daya/tanah, ketimpangan ekonomi dan asimetri informasi di antara para pihak yang terlibat. Tulisan ini menyimpulkan bahwa implementasi asas keterbukaan signifikan dengan peran informasi dalam pengadaan tanah. 

scholarly journals Efficient and Privacy-Preserving Multi-User Outsourced K-Means Clustering

2021 ◽  
Vol 14 (2) ◽  
pp. 26
Author(s):  
Na Li ◽  
Lianguan Huang ◽  
Yanling Li ◽  
Meng Sun
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Clustering Algorithm ◽  
Privacy Preserving ◽  
Locality Sensitive Hashing ◽  
Sensitive Information ◽  
The Public ◽  
Big Data Mining ◽  
Euclidean Distances ◽  
Computational Resources

In recent years, with the development of the Internet, the data on the network presents an outbreak trend. Big data mining aims at obtaining useful information through data processing, such as clustering, clarifying and so on. Clustering is an important branch of big data mining and it is popular because of its simplicity. A new trend for clients who lack of storage and computational resources is to outsource the data and clustering task to the public cloud platforms. However, as datasets used for clustering may contain some sensitive information (e.g., identity information, health information), simply outsourcing them to the cloud platforms can't protect the privacy. So clients tend to encrypt their databases before uploading to the cloud for clustering. In this paper, we focus on privacy protection and efficiency promotion with respect to k-means clustering, and we propose a new privacy-preserving multi-user outsourced k-means clustering algorithm which is based on locality sensitive hashing (LSH). In this algorithm, we use a Paillier cryptosystem encrypting databases, and combine LSH to prune off some unnecessary computations during the clustering. That is, we don't need to compute the Euclidean distances between each data record and each clustering center. Finally, the theoretical and experimental results show that our algorithm is more efficient than most existing privacy-preserving k-means clustering.

Sign in / Sign up

Export Citation Format

Share Document