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1,997 results on '"Kumar, RA"'

1. Data Modeling in Finance Challenges

Author

Prasanth Kumar Ra, Santosh Kumar, and Vikas Singh

Abstract

This chapter aims to draw readers' attention on the challenges of modeling in finance. The new quantitative methods offer extraordinary capabilities with the latest algorithms using AI, ML, etc., aided by high technological computational power. However, the adoption of the latest tools and techniques comes with many challenges that are limited by human resources and nuances of financial industries. Unlike the recommendation-based models in the technology industry, real money is at stake in the financial industry. Hence, it is not very prudent to accept the result of quantitative methods without understanding the inherited risks. Despite the hype created by data scientists, the financial industry cautiously adopted the highly complicated learning tools after due diligence because investor and shareholder money is at stake and experts want to strategize financial decisions based on the data model outputs. Further, the chapter brings the key highlights of financial models.

Published
2023

22. The US Capital Markets

Author

Santosh Kumar, Prasanth Kumar Ra, and Sarvesh Kumar

Abstract

The largely neglected retail investor groups are doing the unprecedented action in the USA. The purpose of this chapter is to draw readers' attention towards the trend of household investments in the capital market and its key drivers. This chapter studies the change of household financial behavior over the last 30 years. This chapter draws attention to the investment patterns in the financial asset class. The study finding suggests that gradually household finances have strengthened during the last three decades of financial prosperity and it has enabled the household to invest more in corporate securities, thus allowing the household to participate in the financial market. The major investment determinants include growth in disposable income, lower unemployment rate, lowering interest rate, etc., although a lot of changes driven by qualitative factors such as access to market through technology interventions are difficult to quantify.

Published
2022

47. Enhanced Diversity Gain of Subcarrier Index Modulated MIMO-GFDM using Constellation Precoding Technique for 5G

Author

Kumar Ra and K Sp

Subjects
Index (economics), Computer science, Diversity gain, MIMO, Algorithm, Precoding, Subcarrier, 5G, Computer Science::Information Theory, Constellation
Abstract

The massive growth of mobile users and various applications in coming days requires an enhanced Radio Access Technology (eRAT) to improve the diversity gain and spectral efficiency. Current research on Generalized Frequency Division Multiplexing (GFDM) modulation technique combined with Multi-Input Multi-Output (MIMO) antenna system gives good resource allocation, out band emission and better signal strengths over the existing Orthogonal Multiple Access (OMA) techniques. The proposed scheme explains the improvement of diversity gain, spectral efficiency and energy efficiency of MIMO-GFMD system by combining the benefits of Subcarrier Index Modulation (SIM) and Constellation Precoding (CP) Technique. It is referred as SIM-CP-MIMO-GFDM system. In order to achieve the requirements, in proposed scheme few subcarriers are activated by index modulation bits in quadrature/in-phase dimensions and then data symbols are constellation Precoded. At the receiver, data blocks are detected by using QR Decomposition based Maximum Likelihood (ML) detection. Finally, this paper explains both theoretical and simulation result analysis that the proposed SIM-CP-MIMO-GFDM system outperforms compared to existing systems.

Published
2021

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