MULTIDIMENSIONAL ASSESSMENT OF INVESTMENT BANKING EFFICIENCY: INTEGRATING QUANTITATIVE AND QUALITATIVE APPROACHES

It is substantiated that assessing the effectiveness of banks’ investment activities requires a nuanced understanding of both quantitative indicators and qualitative variables that influence strategic and operational decisions. A key challenge lies in the inherent disconnect between the complexity of investment processes often shaped by behavioral and institutional factors and the rigid structure of traditional quantitative models. Most conventional methods prioritize short-term performance and fail to adequately reflect the dynamics of the economic environment or the specificities of financial institutions. This underscores the need for a more balanced analytical framework that integrates quantitative modeling with qualitative assessments and captures the multidimensional nature of bank operations in conditions of increased economic turbulence. This research aims to establish a theoretical foundation for developing a universal methodology for evaluating the effectiveness of banks’ investment activities. The study seeks to enhance the methodological tools for such analysis by accounting for multidimensionality, risk exposure, and the specific characteristics of the banking sector amid financial and macroeconomic instability. A critical review of existing approaches to assessing the effectiveness of banks’ investment activities was conducted, their advantages and limitations were analyzed, relevant quantitative and qualitative parameters of effectiveness were identified, and an integrative methodology based on DEA, RAROC, and integral assessment was proposed. The study confirms that the effectiveness of investment strategies significantly depends on the accurate identification of relevant variables and the appropriateness of the analytical approach. Advanced modeling tools provide a higher degree of forecasting precision, support strategic risk analysis, and enhance decision-making quality. The proposed theoretical and methodological approach allows for a more consistent treatment of risk profiles, behavioral factors, and institutional constraints. The integration of short-term and long-term perspectives within a unified evaluation model enhances adaptability to market volatility and improves the relevance of strategic recommendations. By reducing subjectivity and capturing systemic importance, the framework supports more resilient and informed investment decisions in the banking sector.

Authors

Institutions

Publication Details

Journal
EСONOMY FINANСES MANAGEMENT Topical issues of science and practical activity
Published
2025-05-19
DOI
https://doi.org/10.37128/2411-4413-2025-1-1
Primary Topic
Banking stability, regulation, efficiency
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MULTIDIMENSIONAL ASSESSMENT OF INVESTMENT BANKING EFFICIENCY: INTEGRATING QUANTITATIVE AND QUALITATIVE APPROACHES

SHLONCHAK Vasyl
EСONOMY FINANСES MANAGEMENT Topical issues of science and practical activity
Banking stability, regulation, efficiency
article

MULTIDIMENSIONAL ASSESSMENT OF INVESTMENT BANKING EFFICIENCY: INTEGRATING QUANTITATIVE AND QUALITATIVE APPROACHES

SHLONCHAK Vasyl
article en

Abstract

It is substantiated that assessing the effectiveness of banks’ investment activities requires a nuanced understanding of both quantitative indicators and qualitative variables that influence strategic and operational decisions. A key challenge lies in the inherent disconnect between the complexity of investment processes often shaped by behavioral and institutional factors and the rigid structure of traditional quantitative models. Most conventional methods prioritize short-term performance and fail to adequately reflect the dynamics of the economic environment or the specificities of financial institutions. This underscores the need for a more balanced analytical framework that integrates quantitative modeling with qualitative assessments and captures the multidimensional nature of bank operations in conditions of increased economic turbulence. This research aims to establish a theoretical foundation for developing a universal methodology for evaluating the effectiveness of banks’ investment activities. The study seeks to enhance the methodological tools for such analysis by accounting for multidimensionality, risk exposure, and the specific characteristics of the banking sector amid financial and macroeconomic instability. A critical review of existing approaches to assessing the effectiveness of banks’ investment activities was conducted, their advantages and limitations were analyzed, relevant quantitative and qualitative parameters of effectiveness were identified, and an integrative methodology based on DEA, RAROC, and integral assessment was proposed. The study confirms that the effectiveness of investment strategies significantly depends on the accurate identification of relevant variables and the appropriateness of the analytical approach. Advanced modeling tools provide a higher degree of forecasting precision, support strategic risk analysis, and enhance decision-making quality. The proposed theoretical and methodological approach allows for a more consistent treatment of risk profiles, behavioral factors, and institutional constraints. The integration of short-term and long-term perspectives within a unified evaluation model enhances adaptability to market volatility and improves the relevance of strategic recommendations. By reducing subjectivity and capturing systemic importance, the framework supports more resilient and informed investment decisions in the banking sector.

EСONOMY FINANСES MANAGEMENT Topical issues of science and practical activity(1 (71))
InterDigital (United States) (US)
Openalex Percentile: Top 86%
Banking stability, regulation, efficiency
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.