# FINANCE 830: Advanced Derivative Securities | UW–Madison [View on UW Courses](https://uwcourses.com/courses/FINANCE_830) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 58a906c022a5d7cbc6bad3659800768a1e77af55e4275c46d2430c295e5624d9 ### course id FINANCE 830 ### course uid course\_f75b33f94be4a4241eddeee2 ### catalog version id eb0f00233ba7226a168ab922a15d7c87f1592866b9f7a7c6f1b9d36a677f96dc ### course number 830 ### subjects * FINANCE ### title ADVANCED DERIVATIVE SECURITIES ### description Introduces continuous-time financial models essential for the advanced analysis of derivative securities. Discuss the fundamental mathematical concepts and tools from continuous-time stochastic processes including Brownian motion, Poisson processes, stochastic calculus, and change of measure. This provides a framework for analyzing derivative securities including their pricing, hedging, and risk management. In particular, covers the Black-Scholes and stochastic volatility models for equity options; basic term-structure modeling for interest rate derivatives; and reduced-form credit-risk models. Emphasis is put on applications and economic interpretation rather than mathematical rigor. ### requirements text Declared in Financial Economics MS ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 42252e19dc7931d886ea00699586b09139d3c871cb59074d9dbf38f88e5e4622 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary FINANCE 830 introduces continuous-time financial models for the advanced analysis, pricing, and risk management of derivative securities. ### llm topics * Continuous-time stochastic processes: Brownian motion, Poisson processes, stochastic calculus, and change of measure * Equity options: Black-Scholes and stochastic volatility models * Interest rate derivatives: basic term-structure modeling * Credit risk: reduced-form credit-risk models ### llm skills * Pricing, hedging, and risk management of derivative securities * Application of Black-Scholes, stochastic volatility, term-structure, and credit-risk models ### llm assumed background None recorded. ### llm search phrases * continuous-time financial models * derivative securities pricing * stochastic calculus finance * Black-Scholes model * risk management derivatives ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 8e013b936875a7f07e4664511d85761cbfa8abbd64acf4e3b21cdd779bfc8a9b #### course id FINANCE 830 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2022: 3.61 GPA, 78.6% A/AB (n=14 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"term_id": "1124", "term_name": "Spring 2012", "instructors": [ "YUE WU", "Young Wu" ], "a": 4, "ab": 3, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 7, "source_aliases": [ "FINANCE 830" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "FINANCE 830", "course_uid": "course_f75b33f94be4a4241eddeee2", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Daniel Bauer" ], "a": 8, "ab": 3, "b": 2, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 14, "source_aliases": [ "FINANCE 830" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "FINANCE 830", "course_uid": "course_f75b33f94be4a4241eddeee2", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Daniel Bauer" ], "a": 7, "ab": 7, "b": 4, "bc": 2, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 21, "source_aliases": [ "FINANCE 830" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "FINANCE 830", "course_uid": "course_f75b33f94be4a4241eddeee2", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Daniel Bauer", "UNIVA SONG" ], "a": 17, "ab": 15, "b": 7, "bc": 3, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "FINANCE 830" ] } ] ``` ### statistics #### gpa 3.471 #### graded 138 #### counts * 53 * 45 * 28 * 7 * 4 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_f75b33f94be4a4241eddeee2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_f75b33f94be4a4241eddeee2-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_f75b33f94be4a4241eddeee2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_f75b33f94be4a4241eddeee2-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_f75b33f94be4a4241eddeee2-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_f75b33f94be4a4241eddeee2-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.471014492753623 #### count 138 #### university ##### size 3567 ##### gpa Percentile 30 ##### count Percentile 58 ##### median Count 107 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 24 | false | | 2.8–3.2 | 356 | false | | 3.2–3.6 | 1116 | true | | 3.6–4.0 | 2070 | false | #### departments ```json [ { "subject": "FINANCE", "comparison": { "size": 25, "gpaPercentile": 42, "countPercentile": 38, "medianCount": 178, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.2333333333333334 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | FINANCE | | #### 1082 ##### term 1082 ##### gpa 3.433333333333333 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | FINANCE | | #### 1092 ##### term 1092 ##### gpa 3.65 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | FINANCE | | #### 1102 ##### term 1102 ##### gpa 3.4 ##### count 5 ##### departments | subject | comparison | | ------- | ---------- | | FINANCE | | #### 1112 ##### term 1112 ##### gpa 3.5 ##### count 8 ##### departments | subject | comparison | | ------- | ---------- | | FINANCE | | #### 1124 ##### term 1124 ##### gpa 3.7857142857142856 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | FINANCE | | #### 1224 ##### term 1224 ##### gpa 3.607142857142857 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | FINANCE | | #### 1234 ##### term 1234 ##### gpa 3.3095238095238093 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | FINANCE | | #### 1244 ##### term 1244 ##### gpa 3.511627906976744 ##### count 43 ##### university ###### size 1241 ###### gpa Percentile 35 ###### count Percentile 27 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | true | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "FINANCE", "comparison": { "size": 11, "gpaPercentile": 80, "countPercentile": 10, "medianCount": 61, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 3567 ###### gpa 3.617820895273736 ###### top Share 79.22916380775823 ###### count 107 ##### FINANCE ###### size 25 ###### gpa 3.558054778912937 ###### top Share 74.77811655631878 ###### count 178 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### FINANCE ###### size 10 ###### gpa 3.389653529450375 ###### top Share 62.06012737241019 ###### count 99.5 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### FINANCE ###### size 10 ###### gpa 3.4098210975953593 ###### top Share 62.968776115303385 ###### count 108 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### FINANCE ###### size 10 ###### gpa 3.3546094111210003 ###### top Share 59.018286586687154 ###### count 86.5 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### FINANCE ###### size 10 ###### gpa 3.4565219199391493 ###### top Share 67.17000199576243 ###### count 84 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### FINANCE ###### size 15 ###### gpa 3.4755197335859407 ###### top Share 71.00769564684536 ###### count 53 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### FINANCE ###### size 10 ###### gpa 3.372785452553605 ###### top Share 63.284872923711234 ###### count 130.5 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### FINANCE ###### size 11 ###### gpa 3.4093382518317767 ###### top Share 66.91676897169883 ###### count 61 ## instructor Trends ```json [ { "uid": "instructor_5279fe9261b366e17b45be0a", "name": "DANIEL BAUER", "count": 78, "terms": [ { "term": "1224", "count": 14, "sections": 1, "gpa": 3.607142857142857 }, { "term": "1234", "count": 21, "sections": 1, "gpa": 3.3095238095238093 }, { "term": "1244", "count": 43, "sections": 1, "gpa": 3.511627906976744 } ] }, { "uid": "instructor_970a36c05c9adf23def73608", "name": "JAMES HODDER", "count": 43, "terms": [ { "term": "1072", "count": 15, "sections": 1, "gpa": 3.2333333333333334 }, { "term": "1082", "count": 15, "sections": 1, "gpa": 3.433333333333333 }, { "term": "1102", "count": 5, "sections": 1, "gpa": 3.4 }, { "term": "1112", "count": 8, "sections": 1, "gpa": 3.5 } ] }, { "uid": "instructor_ad351c05e77637c3523defa8", "name": "UNIVA SONG", "count": 43, "terms": [ { "term": "1244", "count": 43, "sections": 1, "gpa": 3.511627906976744 } ] }, { "uid": "instructor_9736b7f1b027a5b4531c4657", "name": "WENYU WANG", "count": 13, "terms": [ { "term": "1102", "count": 5, "sections": 1, "gpa": 3.4 }, { "term": "1112", "count": 8, "sections": 1, "gpa": 3.5 } ] }, { "uid": "instructor_932959b90bf01f86a25dc070", "name": "STEVEN PATTON", "count": 10, "terms": [ { "term": "1092", "count": 10, "sections": 1, "gpa": 3.65 } ] }, { "uid": "instructor_80456bfb467b8db88799b2ee", "name": "YUE WU", "count": 7, "terms": [ { "term": "1124", "count": 7, "sections": 1, "gpa": 3.7857142857142856 } ] }, { "uid": "instructor_fe503d03ebcad45d8b5af3b3", "name": "YOUCHANG WU", "count": 7, "terms": [ { "term": "1124", "count": 7, "sections": 1, "gpa": 3.7857142857142856 } ] } ] ``` ## following None recorded.