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Item AN INVESTIGATION OF RISK DECLARATIONS AMONG NON-FINANCIAL PAKISTANI FIRMS(UMT, Lahore, 2019) Maria GillThe fundamental reason for this proposition is to distinguish the total figure of risk declarations and also look at the connection between the administrative body as board qualities and ownership amount influence on risk revelation in yearly reports of non-financial organizations.Item Global Trade Network Analysis to Strategies Pakistan Trade Policy(UMT, Lahore, 2019) Zia Ur RehmanIn global trade market competitiveness is a superlative game. Eloquent comparison, peer countries concert identification, making meaningful insights, identification of competitive challenges, performance gaps and challenges identification is important for policy makers to stay and drive in the main trade stream. Understanding the competitiveness is a vibrant and relative process. What drives competitiveness and how key players evolve over time in a metric and performs in the global trade market is important to identify the resilience of any country’s trading network. For Pakistan, paper scrutinizes in detail that the Pakistan’s trade concert in the light of evolving global challenges and recognizes the key structural issues. Primary objective of this study is to explore the robustness of Pakistan trade network by using the network analysis methodologies and to familiarize the readers with the methods incorporate for calculation, Visualization and exploration of the network and trade statistics. A verity of visualization are presented to descript the topological properties of trade networks, fabricating and conversing frequently used network statistics and imparting some precise topics. Network analysis approaches are used as a compelling toll to delineate Bilateral Trade relation among the countries where interdependences matters and trading is considered with robust heterogeneity and high dimensionality. For the purpose, UN Comtrade Database is explored along with network analysis methodologies for visualizing the world trade networks to define and elaborate the topologies of the networks and discussing both binary and weighted versions. Defining the clusters to identify the countries shares common statistics and to see how the countries are positioned in relation to others along with understanding the relative size of competitiveness gaps is the primary implication of this study.