Towards a Risk Model for Venture Capital Funds: Liquidity and Performance Forecasting

Author(s):  
Tom Weidig

2017 ◽  
Author(s):  
Andrea Maria Accioly Fonseca Minardi ◽  
Adriana Bortoluzzo ◽  
Lucas do Amaral Moreira


Author(s):  
Andrea Maria Accioly Fonseca Minardi ◽  
Adriana Bruscato Bortoluzzo




Author(s):  
Yael V. Hochberg ◽  
Alexander Ljungqvist ◽  
Annette Vissing-Jorgensen


2021 ◽  
Vol 20 (1) ◽  
pp. 192-196
Author(s):  
Mabrouka Amhamed Al-Shebany ◽  
Jazya Moftah Amshaher ◽  
Hana Mohammed

Recently a large effort was spent on forecasting the outcome of sporting events. Due to forecasting perspective, the presence of competition introduces particular modeling challenges, which in turn limit the applicability of standard techniques. The objective of this study is to create a soccer team performance-forecasting model based on Artificial Neural networks that is capable of forecasting soccer players’ performance depending on teams’ history and behavior in previous matches as an input. The proposed model was trained and tested using a dataset including the features of Egypt Telecommunications club 15 years soccer team participating in the Egyptian Football Association Youth Dorian.  Simulation results indicated that the proposed model could be classified as a stable predication model especially for soccer team’s status and performance, achieving high accuracy rate up to 95%.



2014 ◽  
pp. 1512-1529
Author(s):  
Margee Hume ◽  
Paul Johnston ◽  
Mark Argar ◽  
Craig Hume

This chapter focuses on addressing: the screening criteria used to evaluate potential new energy- related technology ventures in two international markets, namely the Philippines and Brazil; adopting a single case methodology to communicate the firm strategies used to attract investment and the behaviour adopted to try and effectively and efficiently enter the global market; and based on the descriptions and behaviours found, the case offers a holistic entry framework which will advance understanding of transcultural marketing and entry needs of the Philippines and Brazil regarding new energy-related innovations. This chapter uses qualitative case analysis of a single case technology commercialisation organisation and the experience of entering two new world markets: the Philippines and Brazil. These two markets have been selected as they are focused on energy securitisation, possess a distinct business culture related to early stage and Venture Capital (VC) investment and the behaviour of VCs, and are currently commercially attractive and interested in international investment and new technology market development (Broad & Cavanagh, 2011; Castells, 2011). This chapter reports on data focused on investment activity within the technology market in Brazil and the Philippines and cultural factors affecting investment and market entry specific to these markets. The chapter integrates the cultural issues of each destination with current literature and develops a checklist of actions related to each market destination. The chapter will assist with the success of attracting investment, sales growth, and performance in the new market and enhance profitability of the venture. The chapter will offer specific actions related to the entry and investment in each market and contribute to international marketing knowledge. This chapter offers a new transcultural marketing perspective on international venture capital exploring and learning from these two diverse emerging world markets. The lessons learnt from each market creates a shared and advanced outlook on seeking successful venture capital in newer global markets (Broad & Cavanagh, 2011).



2020 ◽  
Vol 12 (8) ◽  
pp. 3447 ◽  
Author(s):  
Jihye Jeong ◽  
Juhee Kim ◽  
Hanei Son ◽  
Dae-il Nam

This study provides evidence on how venture capital (VC) investment affects startup firms’ sustainable growth and performance. Despite the rich and abundant research on the relationship between VC investment and startup performance, there is no clear evidence about the contribution of VC investment on the performance and market value of invested firms. In order to accurately measure the impact of VC investment, this study explored how VC investment at each stage of growth affects a startup’s sustainable growth and performance. Based on signaling theory and information asymmetry, this study proposed a positive link between initial-stage VC investment and a startup’s growth and performance. Using a sample of 363 firms listed from 2000 to 2007, this study demonstrated that startups are sustained and perform better as they receive their VC investment at the initial stage. The level of potential absorptive capacity positively moderated this association, unlike realized absorptive capacity, which did not show significant moderating effects.



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