Refine
Year of publication
- 2010 (27) (remove)
Document Type
- Article (16)
- Part of Periodical (11)
Has Fulltext
- yes (27)
Is part of the Bibliography
- no (27) (remove)
Institute
- E-Finance Lab e.V. (27) (remove)
THE EUROPEAN POST-TRADING LANDSCAPE IS RECENTLY CHANGING FUNDAMENTALLY DUE TO THE FINANCIAL CRISIS, REGULATORY ACTIONS, AND THE STRONG LINKAGE OF GLOBAL FINANCIAL MARKETS. THE SYSTEMIC IMPORTANCE OF POST-TRADING INFRASTRUCTURES UNDERLINES THE INDUSTRY’S SIGNIFICANT DEPENDENCE ON SAFE AND EFFICIENT RISK MANAGEMENT PROCESSES. USING THE DELPHI METHODOLOGY IN A STUDY AMONG A MULTITUDE OF EXPERTS FROM DIFFERENT AREAS OF POST-TRADING, WE TRIED TO DEVELOP A JOINT AND COHERENT VIEW OF THE MOST IMPORTANT ISSUES FOR THE EUROPEAN POST-TRADING SYSTEM IN THE NEAR FUTURE.
WE STUDY WHETHER PRIVATE EQUITY (PE) FIRMS HAVE A POSITIVE IMPACT ON THE FINANCIAL PERFORMANCE OF THEIR GERMAN PORTFOLIO COMPANIES BEFORE AND AFTER THE IPO. OUR EMPIRICAL ANALYSIS IS BASED ON A UNIQUE AND LARGE DATASET OF ALL IPOS IN GERMANY BETWEEN 2000 AND 2007. WE FIND THAT PE FIRMS SELECT COMPANIES WITH BELOW AVERAGE PERFORMANCE AND THEN IMPROVE PERFORMANCE SUBSTANTIALLY UNTIL THE IPO DATE AND IN MANY CASES ALSO THEREAFTER. THIS IMPLIES THAT PE FIRMS FILL A VOID ALSO IN GERMAN FINANCIAL MARKETS AND THAT THEY WILL ALSO PLAY A FUTURE ROLE IN FINANCING GERMAN ENTERPRISES.
THE PRESENT ARTICLE TRIES TO DEMYSTIFY THE LINK BETWEEN THE SUBPRIME BANKING CRISIS AND THE SUBSEQUENT FALL IN GROSS DOMESTIC PRODUCT. AN UP-TO-DATE REVIEW OF THE LITERATURE ON THE REAL CONSEQUENCES OF THE LOSS OF BANK LENDING CAPACITY IS PROVIDED, PRESENTING EVIDENCE OF A DECLINE IN NEW BANK LOANS ALONG WITH EVIDENCE OF CORPORATE REACTIONS TO THIS DECLINE. FINALLY, IT IS SHOWN HOW THE PRESENTED FACTS CAN ADD UP TO AN EVENT OF MACROECONOMIC DIMENSION.
Foreign exchange markets and electronic trading : interview with Carlo Kölzer, 360 Treasury Systems
(2010)
NEW TECHNOLOGIES LIKE GRID COMPUTING WHICH CAN CONNECT RESOURCES AT DIVERSE LOCATIONS ARE MORE AND MORE ADOPTED FROM ORGANIZATIONS. SUCH TECHNOLOGIES CAN BOTH TRIGGER LINKAGES BETWEEN ORGANIZATIONS AND DIFFERENT DEPARTMENTS IN ONE SINGLE ORGANIZATION. WE DEVELOP A MODEL WHICH ACCOUNTS BOTH FOR INTER- AND INTRA-ORGANIZATIONAL INFLUENCE FACTORS ON THE ADOPTION PROCESS AND EMPIRICALLY IDENTIFIES THE MOST SIGNIFICANT INFLUENCE FACTORS.
AS A MATTER OF COURSE, QUANTITATIVE DATA SUCH AS TIME SERIES AND QUARTERLY FIGURES ARE FREQUENTLY USED IN FINANCIAL ANALYSIS. SUCH DATA CAN BE PROCESSED AUTOMATICALLY AND INTERPRETED RATHER EFFICIENTLY. HOWEVER, A SIGNIFICANT PERCENTAGE OF RELEVANT INFORMATION ORIGINATES FROM UNSTRUCTURED SOURCES, PRIMARILY TEXTUAL DATA, WHICH REQUIRE MANUAL (HUMAN) INTERPRETATION. WE EXPLORE EMPIRICALLY HOW MACHINE LEARNING TECHNIQUES CAN PROVIDE SUPPORT FOR ANALYZING AND INTERPRETING SUCH TEXTUAL DATA SOURCES.