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ASSET-LIABILITY MANAGEMENT AND BANK SURVIVAL OF SELECTED DEPOSIT MONEY BANKS IN NIGERIA

Akande, Joseph Olorunfemi

Abstract

Abstract Asset-liability management represents a critical benchmark that deposit money banks must systematically monitor and integrate into strategic financial and operational decision-making processes to ensure institutional sustainability. In light of this, the present study investigates the impact of asset-liability management on the survival of selected deposit money banks in Nigeria. Employing an ex-post facto research design, the study utilized secondary data derived from selected deposit money banks covering the period from 2010 to 2021. Panel regression analysis was applied to examine the relationship between asset-liability structure—measured by cash and cash equivalents, net loan portfolio, net fixed assets, total deposits, and total long-term funding—and bank survival, proxied by the capital adequacy ratio. The empirical findings indicate that the asset-liability structure, across the specified dimensions, exerts a statistically significant influence on bank survival among the sampled banks. Based on these results, the study concludes that the effective management of key asset and liability components—specifically, cash and cash equivalents, net loan portfolios, net fixed assets, total deposits, and long-term funding—is vital to enhancing the capital adequacy and, by extension, the long-term viability of deposit money banks in Nigeria. Consequently, it is recommended that top management of deposit money banks prioritize prudent management of cash and cash equivalents, ensuring a year-on-year increase in alignment with regulatory standards, to promote institutional resilience and sustainability. Keywords: asset-liability management, deposit money banks, sustainability, institutional resilience.

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561 In e na ional Jou nal o Social and Educa ional Inno a ion Vol. 12, Issue 23, 2025 ISSN (p in ): 2392 – 6252 eISSN (online): 2393 – 0373 DOI: 10.5281/zenodo.17257164 ASSET-LIABILITY MANAGEMENT AND BANK SURVIVAL OF SELECTED DEPOSIT MONEY BANKS IN NIGERIA Joseph Olo un emi AKANDE Wal e Sisulu Uni e si y, Sou h A ica Abs ac Asse -liabili y managemen ep esen s a c i ical benchma k ha deposi money banks mus sys ema ically moni o and in eg a e in o s a egic inancial and ope a ional decision-making p ocesses o ensu e ins i u ional sus ainabili y. In ligh o his, he p esen s udy in es iga es he impac o asse -liabili y managemen on he su i al o selec ed deposi money banks in Nige ia. Employing an ex-pos ac o esea ch design, he s udy u ilized seconda y da a de i ed om selec ed deposi money banks co e ing he pe iod om 2010 o 2021. Panel eg ession analysis was applied o examine he ela ionship be ween asse -liabili y s uc u e—measu ed by cash and cash equi alen s, ne loan po olio, ne ixed asse s, o al deposi s, and o al long- e m unding—and bank su i al, p oxied by he capi al adequacy a io. The empi ical indings indica e ha he asse -liabili y s uc u e, ac oss he speci ied dimensions, exe s a s a is ically signi ican in luence on bank su i al among he sampled banks. Based on hese esul s, he s udy concludes ha he e ec i e managemen o key asse and liabili y componen s—speci ically, cash and cash equi alen s, ne loan po olios, ne ixed asse s, o al deposi s, and long- e m unding—is i al o enhancing he capi al adequacy and, by ex ension, he long- e m iabili y o deposi money banks in Nige ia. Consequen ly, i is ecommended ha op managemen o deposi money banks p io i ize p uden managemen o cash and cash equi alen s, ensu ing a yea -on-yea inc ease in alignmen wi h egula o y s anda ds, o p omo e ins i u ional esilience and sus ainabili y. Keywo ds: asse -liabili y managemen , deposi money banks, sus ainabili y, ins i u ional esilience. In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 562 In oduc ion One o he main goals o deposi money banks all o e he wo ld has been o su i e. The ela ionship be ween asse -liabili y s uc u e and comme cial banks, o deposi money su i al, is s ill being s udied, especially in he wake o he global inancial c isis (GFC) o 2007–2009, bank consolida ion, and ecen e o ma ion o he global banking sys em ha caused a c edi c isis in mos coun ies. As a esul , academics, p o essionals, and bank manage s om de eloped, eme ging, and de eloping economies a e in e es ed in achie ing bank su i al and sound capi al adequacy o inc ease he ole o bank in e media ies. Globally, capi al mix con ibu es o he asse s, liabili ies, and inancial su i al o comme cial banks, o deposi money banks play a majo ole in he p ima y objec i e and unc ion o comme cial bank inancial ea nings and in e media ion be ween economic agen s. One o he main objec i es o Deposi Money Banks (DMBs) wo ldwide has long been inancial gain. The connec ion be ween asse -liabili y managemen and bank p o i s is cu en ly being s udied, mainly in he wake o he global inancial c isis (GFC) o 2007–2009, which esul ed in bank me ge s and na ional banking sys em e o ms. Thus, o inc ease he ole o he bank in e media y, bank manage s and in ellec uals a ound he wo ld we e wo ied abou how o link asse -liabili y o achie e s ong bank p o i abili y. The asse -liabili y managemen and capi al adequacy we e pa o p uden ial guidelines DMBs mus sc een and conside when making decisions (Ogbei un e al., 2022). This is since bank p o i s as measu ed by e u ns ( e u n on equi y and e u n on asse s) ha e a signi ican impac on bank ope a ions. Wi hou gene ally ul illing he unc ion o inancial in e media ies and gene a ing s eady bank p o i s o e ime, DMBs canno su i e (Sam yn e al., 2022). The e o e, he deg ee o capi al mix, p uden asse -liabili y managemen , and bank p o i s h ough capi al su iciency mus be seen as eliable indica o s o DMBs o su i e by academics and expe s in he banking indus y in de eloped, eme ging, and de eloping na ions. Due o di icul ies in a aining sound sha eholde weal h maximiza ion, p o i abili y, and ma ke alue, DMBs wo ldwide, including Nige ia, we e unable o achie e hei desi ed ea nings. The issue o DMBs' low inancial e u ns on in es men was b ough on by hese di icul ies. Asse -liabili y managemen misma ches con inue o be a bigge p oblem o DMBs, which has a nega i e impac on banks' ea nings and size (Yuan & Mi, 2022). Nige ian banks we e no exemp ; hey aced issues wi h los in es men s, illiquid asse s, he inabili y o pay o sho - and long- e m deb , bank uns b ough on by an imbalance be ween asse s and obliga ions, and low inancial p o i s. In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 563 The demise o comme cial banks, also known as deposi money banks, o banks ha do no su i e, is a wo ldwide issue ha can be linked o bo h es ablished and eme ging economies (Wo ld Bank Repo , 2022). I deposi money egula o s o comme cial banks do no es ablish he dea h penal y o bank manage s o c iminals and es ablish obus , impa ial mone a y egula o y bodies ha o e see and conduc app op ia e assessmen s o deposi money bank asse s and liabili ies, he issue o bank ailu es will pe sis . Due o poo asse -liabili y managemen , which in u n impedes he deposi money banks' abili y o unc ion as sound inancial in e media ies, Nguyen (2022) highligh ed ha mos Nige ian deposi money banks will no be able o wi hs and long- e m ola ili y in he global economy and mone a y policies. Acco dingly, he e is a common issue wi h insu icien bank ea nings, which leads o poo bank in es men , a limi ed capi al mix, and insol ency. Acco ding o Van G euning e al. (2022), mos Nige ian banks used inno a i e accoun ing s a egies ha allowed o he mis epo ing o asse s and liabili ies and h ea ened deposi money banks wi h asse -liabili y mismanagemen . As a esul , deposi s money banks' ea nings we e hampe ed, and hey we e unable o each hei capi al mix goals. Inadequa e inancial epo ing and ine icien asse -liabili y managemen we e he main causes o DMB ailu es in Nige ia (Ogbei un e al., 2022; Onaolapo & Adegoke, 2020). While p e ious ela ed s udies ha e examined he ela ionship be ween asse -liabili y managemen , bank-speci ic ac o s, and bank pe o mance (Abebe, 2022; Dao, 2020; D iss, & Mohammed, 2017; Kasasbeh, 2021; Lysiak e al., 2022; Mugun, 2019; Nguyen, 2020; Ogbei un, & Akinola, 2020; Onaolapo & Adegoke, 2020; Owusu & Alhassan, 2020; Sam yn & Ismail, 2022; Si ain, 2022; Yuan, & Mi, 2022). Howe e , mos o hese p e ious s udies ne e examined he ela ionship be ween bank capi al mix, asse -liabili y managemen , and capi al adequacy among selec ed deposi money banks in Nige ia. Thus, he e exis s gap iden i ied among pas li e a u e. Conside ed p oblem and gap iden i ied, his s udy ocused on in e ac ion e ec o bank capi al mix be ween Asse s-Liabili ies managemen and bank s a egy o selec ed deposi money banks in Nige ia. Li e a u e Re iew The su i al-based heo y was i s in oduced in he ealm o economics and has since sp ead o he social and managemen sciences. Su i al base heo y was i s p opounded by Schumpe e (1934). I is no su p ising ha he mos common applica ion o su i al o he i es heo y ound in business economics is o e alua e how co po a ions g ow, manipula e, In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 564 and compe e in indus ies, as well as o explain changes in he economy (Nelson & Win e , 1982). Ha od (1939) and Alchian (1950) we e among he esea che s who also inco po a e su i al base heo y in economics and business su i al analysis. He be -Spence de eloped he su i al-based hypo hesis, also known as su i al o he i es heo y (Miesing & P eble, 1985). Acco ding o he su i al ounda ion hypo hesis, i is ypical o compe i o s o ac hedonis ically and manipula e hei me hods o c ea e he bes company, which endu ed and h i ed by e ec i ely adjus ing o i s su oundings and aking ac s o endu e o a conside able amoun o ime. The e o e, unde his iew, in ense comme cial compe i ion and unsc upulous poli ics, like c ea i e accoun ing o igu e manipula ion, a e accep able. Despi e he popula i y o he su i al-based iew in s a egic managemen , esea che s like Abdullah (2010), C agg (2002), Raduan, Jegak, Haslinda, and Alimin (2009) ha e c i icized i o a numbe o easons, a guing ha o ganiza ions ha use i a e no iable because hey lag behind ma ke imp o emen s a he han being leade s in bo h p icing and inno a ion (Abdullah, 2010; C agg, 2002). The su i al-based iew emphasizes he assump ions ha an o ganiza ion mus deploy s a egies ha a e ocused on unning e y e icien ope a ions and can espond quickly o changing compe i i e en i onmen s (Khai uddin, 2005). Acco ding o analys s, p oponen s o his school o hough ha e e y li le oom o g ow h, and i hey do, hei chances o ou pe o ming businesses ha wan o in luence ma ke leade s a e low (Raduan e al, 2009). The su i al-based heo y in es iga es he ac ics businesses employ o keep om being wiped ou by i als (Miesing & P eble, 1985). The su i al-based heo y s a es ha o succeed in inno a i eness, high in ui ion, and he p ac ical abili y o manage an associa ion, a business di ec o mus o ge a oad owa d iden i ying, ins inc , eeling, and hinking. They should also be eady o admi weaknesses o make imp o emen s. Companies mus con inually espond o hei in ense en i onmen al compe i ion o h i e. I seems ha a esh pe spec i e on he business en i onmen (a pa adigm and imp o ed me hods o beha io (co po a e p ac ices)) eme ges e e y en yea s (B ian, 1996). The ounda ion o he su i al-based pe spec i e o managemen is he belie ha o su i e, companies need o implemen s a egies ha a e cen e ed on ca ying ou highly skilled jobs and can quickly adjus o he changing demands o a comba i e compe i i e en i onmen (Khai uddin, 2005). Because he s onges and mos equipped o adjus o hei en i onmen a e he ones who su i e. Ad oca es o his pe spec i e, howe e , hough ha choosing a pa icula echnical layou would be ine ec i e. Ins ead, i is In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 565 ad ised o in es iga e a a ie y o op ions o a ew p ocedu es igh away and hen le he bes sys em ha adap s o he en i onmen de e mine which p ocedu e is ideal (Lynch, 2000). An o ganiza ion ha can success ully adap o i s su oundings and become he mos skilled and p uden in bo h p oduc ion and ac i i y will su i e. This can be achie ed by communica ing app oaches ha ocus on ha ing compe en asks and he abili y o espond apidly o changes in he compe i i e en i onmen . The idea pu sues na u e's c i e ion ha only he bes and i es in he en i onmen will su i e. The company mus adap o he changes o ha e a chance o su i al, which will make he company agg essi e in he ma ke place (Khai uddin, 2005). Acco ding o Abdullah (2010), his hypo hesis is also used o explain bank inancial manipula ion and deposi money banks ha plan o change cou se a e a pe iod o subpa pe o mance. These ins i u ions ha e nume ous obs acles in hei exis ence, some o which may be caused by decep i e accoun ing p ac ices o inancial manipula ion. Such o ganiza ions would use c ea i e accoun ing echniques o help he o ganiza ions (banks) s eng hen hei su i al o add ess he issue o su i al. This is in he belie ha i will imp o e he o e all pe o mance and su i al o hei banking ope a ion, enabling hem o mee hei su i al objec i e. Asse -Liabili y Managemen (ALM), acco ding o Abebe (2022), is he p ocess by which a bank p ocesses and analyzes i s asse s and liabili ies in conjunc ion wi h in e na ional banking s anda ds. ALM ocuses on how a bank's sho - and long- e m liabili ies a e implemen ed wi h i s inancial and non- inancial asse s. Addi ionally, ALM is an ac i e s a egy ha includes asse s-liabili ies concu en ly guidance o guide agains bank isks, acco ding o Owusu and Alhassan (2020). Acco dingly, his s udy heo e ically saw ALM as a me hod o b eaking down banks' asse s and liabili ies o suppo a heal hy ole o inancial in e media ies. Asse -Liabili y S uc u e (ALS) is de ined by Van G euning and B a ano ic (2022) as he p ocess by which a bank's o al asse s and liabili ies a e con olled and s uc u ed simul aneously in an in eg a ed ashion. ALS includes s a egic planning and implemen a ion as well as con ol p ocesses ha impac he olume, mix, ma u i y, in e es a e sensi i i y, quali y, and liquidi y o he bank's asse s and liabili ies. ALS add esses he p o ec ion o bo h income and capi al om in e es a e isk, which a ises om misma ches in he ep icing o asse s and liabili ies, while in e es a e isk managemen seeks o keep in e es a e isk exposu es wi hin pe mi ed limi s. Asse - liabili y managemen p o ec s capi al and income om in e es a e isk, which s ems om misma ches in he ep icing o asse s and liabili ies, while in e es a e isk managemen ies o keep in e es a e isk exposu es wi hin au ho ized le els. The CFI eam (2022) s a es ha In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 566 asse and liabili y s uc u e (ALS) is a p ac ice used by inancial ins i u ions o mi iga e inancial isks esul ing om a misma ch o asse s and liabili ies. ALS s a egies, which combine isk managemen and inancial planning, a e equen ly used by o ganiza ions o manage long- e m isks ha can a ise due o changing ci cums ances. Though he long- e m goal o ALS in a comme cial bank is o maximize he economic alue o he bank, o he p esen alue o he bank's expec ed ne cash lows, which is calcula ed by sub ac ing he expec ed cash lows on liabili ies om he expec ed cash lows on asse s and adding he expec ed ne cash lows on o balance shee (OBS) posi ions, he sho - e m goal o ALS is o main ain liquidi y while p o ec ing ea nings (Basel Commi ee on Banking Supe ision, 2006). The asse -liabili y managemen me hods employed by comme cial banks and non-p o i mic o inance ins i u ions a e simila in p ac ice, acco ding o B om (2009), e e enced in Lysiak e al. (2022). Acco ding o B andao-Ma ques, Rica do, and Ho acio (2020), asse and liabili y managemen is a me hod used by banks and o he inancial se ice p o ide s o manage in e es a es and liquidi y isks. Cash and cash equi alen s a e he line i ems on he balance shee ha show how much money a company has in cash o ha can be u ned in o cash igh now. Bank accoun s and ma ke able secu i ies like comme cial pape and sho - e m go e nmen bonds a e examples o cash equi alen s. Cash and cash equi alen s, acco ding o Wall S ee P ep (2022), a e a balance shee ca ego y ha includes cash and cu en asse s wi h high liquidi y (i.e., asse s con e ible in o cash wi hin 90 days). Acco ding o U.S. GAAP, cash equi alen s a e highly liquid, sho - e m in es men s ha can be easily con e ed in o known amoun s o cash and a e so close o ma u i y ha he e is li le chance o hei alue luc ua ing due o changes in in e es a es. Lawinside (2022) de ines cash and cash equi alen s as he o al amoun o cash (whe he in cash o c edi ed o an accoun wi h a banking, inancial, accep ance c edi , lending, o o he simila ins i u ion o o ganiza ion) and cash equi alen s o he company g oup ela ed o he business, including all in e es acc ued he eon and he pu chase p ice o he slump sale o he s ipel unde aking as speci ied unde he s ipel business ans e ag eemen , excluding (i) cash equi alen s unde lock-in pe iod o cash held in lien, as o a speci ic da e and ela ing o he company g oup o he business; and (ii) he in es o subsc ip ion amoun . Addi ionally, Odo and Udodi (2022) shed ligh on he concep 's applica ions when hey poin ed ou ha cash equi alen s a e main ained mo e o sho - e m cash obliga ions han o in es men s o o he uses. An in es men mus be easily con e ible in o a known amoun o cash and ha e a negligible isk o alue luc ua ions o be conside ed a cash equi alen . In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 567 Consequen ly, an in es men ypically only mee s he c i e ia o being conside ed cash equi alen i i has a sho ma u i y, such as h ee mon hs o less om he da e o acquisi ion. In es men s in sha es a e no conside ed cash equi alen s unless hey a e echnically cash equi alen s, such as p e e ence sha es o a business pu chased jus be o e hei designa ed edemp ion da e (i he company's ailu e o epay he amoun a ma u i y poses a negligible isk). Since cash and cash equi alen s a e componen s o an o ganiza ion's cash managemen a he han i s ope a ing, in es ing, and inancing ope a ions, cash lows do no include mo emen s be ween hese ca ego ies. In es ing su plus unds in cash equi alen s is a componen o cash managemen (Odo & Udodi, 2022). The g oss loan po olio is he o al amoun o loans made o consume s on a gi en da e, and he ne loan po olio is he di e ence be ween he g oss loan po olio and he amoun o loan loss p o isions (LLP), which a e c ea ed by he bank in he e en ha bo owe s ail o ul ill hei obliga ions o epay he deb (Cbonds.com, 2022). These igu es a e shown in he inancial s a emen s o banks. In 2022, Wall S ee P ep o e ed a ma hema ical me hod o de ining G oss Loan Po olio Less Loan Loss Rese e. The o al amoun owed on all ou s anding clien loans, including hose ha a e cu en , pas due, o es uc u ed bu no hose ha ha e been w i en o . In e es ecei able is excluded om his. Loans om employees a e no included. A ne loan po olio, acco ding o Ndambi i, Munene, and Wajohi (2017), is he sum o all loans ha a bank o inance i m has on hand a any gi en ime. The deg ee o which inancial ins i u ions mee hei lending goals, which suppo s he o e a ching o ganiza ional objec i e o maximizing sha eholde weal h, is shown by he ne loan po olio pe o mance (Coope , Edge , & Kleinschmid , 2006). Acco ding o Fujo and Ali (2016), loan po olio pe o mance is c i ical o he success o all lending businesses, no jus SACCOs. One measu e ha assesses he ne wo h o a business's ixed asse s is ne ixed asse s. The pu chase p ice o all ixed asse s plus any u he enhancemen s a e added up o de e mine i . A e ha , deduc he amoun ha has acc ued dep ecia ion (Ca bon Collec i e, 2021). Those who wish o de e mine he ma ke wo h o a company's ixed asse s will ind his measu e e y help ul. pa icula ly i hey wan o pu chase hem. They can calcula e how much hey would ha e o in es in he company's ixed asse s i hey con olled hem by knowing he ne ixed asse s. Goca dless (2022) s a es ha ne ixed asse s a e calcula ed by deduc ing he en i e amoun o dep ecia ion om he pu chase p ice o all a company's ixed asse s. To al ixed asse s minus (accumula ed dep ecia ion + liabili y) equals ne ixed asse s. A company's ne ixed asse s a e calcula ed by sub ac ing he cumula i e dep ecia ion in he alue o i s o al, In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 568 o g oss, ixed asse s. One wo d ha appea s on a bank's balance shee is o al deposi s. Fo he a e age indi idual, he e m "deposi " usually e e s o pu ing money in a bank's sa ekeeping. Di e en ypes o deposi s a e conside ed while de e mining he o al deposi s om a bank's poin o iew. To al Deposi s e e s o he o al amoun o deposi s as o he closing da e's business close, including in e es ha has accumula ed and emain unpaid as o ha da e. The e o e, inancial ins i u ions may no be able o mee hei business goals and imp o e economic g ow h i he e a e insu icien bank deposi s (Viswanadham, Yi galem & Medani , 2013). A bank's capi al mix is a combina ion o i s unding sou ces and is one o i s i s c ucial decisions due o i s associa ion wi h isk and ewa d (Hu, 2022). The combina ion o he bank's deb and equi y is wha gua an ees he bank's inancial s abili y, p o i abili y, g ow h, and expansion (Lysiak e al., 2022). The ollowing a e some possible ypes o deb -equi y mix: Capi al s uc u e ha is ze o-gea ed o ze o-le e aged (100% equi y: 0% deb ) Capi al S uc u e wi h High Gea ing o High Le e age (0% equi y: 100% deb ) Low Le e aged o Low Gea ed Capi al S uc u e (X% Deb : Y% Equi y). Ou o hese h ee op ions, he unle e ed bank op ion is he one whe e he bank a oids he bene i o le e age, i any. The second scena io in ol es a bank wi h no equi y capi al. In a eal-wo ld economic scena io, his al e na i e migh no be easible o ealis ic because no und p o ide will pu his money in o a bank wi hou equi y capi al. The ph ase " ading on equi y" is pa ially explained by his; ha is, he equi y componen o he bank's capi al s uc u e is wha mo i a es he deb supplie s o dona e hei limi ed esou ces o he bank. Op ion h ee is he mos p ac ical since i u ilizes he bene i s o le e age, i any, by combining a speci ic pe cen age o deb and equi y in he capi al s uc u e (Lysiak e al., 2022). Hu (2022) asse ed ha a company's capi al mix is an amalgam o he unding sou ces i uses. The way a bank inances i s asse s h ough deb , equi y, and secu i ies is known as i s capi al s uc u e, acco ding o O ekun in, Nwanji, Eluyela, Olowooke e, and Fagbo o (2020). I is he a io o deb o equi y ha a business needs o inance i s asse s. Acco ding o Dao (2020), a bank's capi al mix is he combina ion o deb and equi y i uses o inance i s in es men s and asse s. Ge ing a educed cos o capi al and inc easing sha eholde weal h a e wo o he mos signi ican company inancial decisions made by inancial managemen . Acco ding o Si ain (2022), bank su i al is he managemen 's capaci y o use he bank's asse s o p oduce e enue, which leads o bank g ow h. Acco ding o Mugun (2019), bank su i al is he g ow h o deposi money banks' o e all asse s. He added ha bank g ow h measu emen is In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 569 impo an o all s akeholde s and ha bank g ow h p oduced by managemen in unning he bank is usually used o assess bank su i al. The abili y o a bank o su i e depends on i s deposi g ow h, which is he change in he comme cial bank's deposi s om yea o yea . Acco ding o Ho maida, Fi awa y, and Nug ahadi (2018), bank su i al is a possible a enue o expansion o a banking company. To al asse g ow h is used o measu e bank g ow h, wi h his o ical asse g ow h se ing as a p oxy o u u e bank p o i abili y. O e ime, a bank's o al asse s may ise o all. The pe cen age change in asse s om one yea o he nex is used o calcula e asse g ow h. Acco ding o Omon uyi and Osamwonyi (2013), a s ong, obus , and s able banking sec o is c i ical o suppo ing economic ac i i y, encou aging economic g ow h, and ensu ing inancial s abili y. They con inued by saying ha one o he mos con o e sial issues in inancial economies has been he connec ion be ween banks and economic g ow h. A obus inancial sys em is acknowledged by all mode n economies as a p e equisi e o swi expansion and ad ancemen (Sanusi, 2012). T idico (2007) asse s ha low bank lending a es p omo e economic g ow h as a complex ma e equi ing he ad an ageous in e play o mul iple ins i u ional and socioeconomic elemen s. Acco ding o O ekun in, Fagbo o, Nwanji, Asamu, Ajiboye, and Falaye (2019), he majo i y o Nige ian money deposi banks ha e he p oblem o ocusing mo e on p o i maximiza ion han aking liquidi y measu es o mee he demands o hei cus ome s and ul illing hei obliga ions o hei clien s as and when due, and in he p ocess, hey a e losing a signi ican po ion o hei clien ele. This p oblem is hough o be esol ed i he banks ake hei liquidi y managemen as necessa y as he way hey ocus on p o i abili y so ha hey can bene i om he impac o a well-managed liquidi y on p o i maximiza ion, he schola s en hused. Among he ad an ages o bank su i al and expansion, acco ding o Mugun (2019), a e he ollowing: banks gene a e money h ough a sys em known as c edi c ea ion, which enables hem o lend a mo e han he deposi s hey hold; when banks lend his money o indus ies, small businesses, se ice p o ide s, and ag icul u e, hey a e genuinely con ibu ing o he exponen ial g ow h o he economy. Consequen ly, spending powe and employmen a e c ea ed. One o he limi a ions, acco ding o D iss e al. (2017), is ha he bank will ail i e e yone akes hei money ou a once du ing eme gency si ua ions. Banks ne e ha e enough cash on hand o pay all hei clien s because o he ole ha c edi c ea ion plays. The capi al o isk (weigh ed) asse s a io (CRAR), some imes e e ed o as he capi al adequacy a io (CAR), is he a io o a bank's capi al o i s isk. Na ional au ho i ies moni o a bank's CAR o make su e i mee s s a u o y capi al le els and can wi hs and a ai amoun o In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 576 Fakunmoju e al. (2023) model. The s udy added capi al mix as in e ac ion a iable o achie e hypo hesis wo and jus i y whe he bank capi al mix may enhance bank inancial su i al p oximi y wi h capi al adequacy a io. The Fakunmoju e al. (2022) adop ed model was s a ed below in equa ion one. The adop ed model is s a ed as: BS = (CCE, NLP, NFA, TD, TLF) (1) BSi = β0 + β1CCEi + β2NLPi + β3NFAi + β4TDi + β5TLFi +µi +εi (2) Whe e: CCE = Cash and Cash Equi alen , NLP = Ne Loan Po olio, NFA = Ne Fixed Asse s, TD = To al Deposi , To al TLF = Long-Te m Funding and CM = Bank Capi al Mix The s udy adap ed Fakunmoju e al. (2022) model o achie e hypo hesis one o he s udies; as bank capi al adequacy can also se e as one o he p oxied o bank su i al used as dependen a iable in Fakunmoju e al. (2022) model. Thus, bank capi al adequacy se ed as he dependen a iable in he model o hypo hesis one which will be s a ed below in equa ion h ee. CAi = β0 + β1CCEi + β2NLPi + β3NFAi + β4TDi + β5TLFi +µi +εi (3) Fu he mo e, bank capi al mix will be added in equa ion h ee o es ablish in e ac ion e ec o capi al mix wi h asse -liabili y managemen on bank capi al adequacy (CA) and achie e hypo hesis wo. The e o e, he adap ed model o hypo hesis wo will be depic ed in equa ion ou below. CAi = β0 + β1CCE*CMi + β2NLP*CMi + β3NFA*CMi + β4TD*CMi + β5TLF*CMi +µi +εi (4) Resul s and Discussion The desc ip i e s a is ics in his s udy explain he leas he a e age and he highes alues o he se ies in he dis ibu ion; as well as he le el o a ia ions in he se ies which is de e mined using he s anda d de ia ion. Table 4: Desc ip i e S a is ics A e age S anda d E o Minimum Maximum CAR 16.26 5.85 -10.19 30.37 Deb o Equi y a io (D/E) 50.43 7.95 12.84 242.90 In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 577 CCE 4.26 1.31 3.51 8.21 NLP 28.25 5.38 14.22 164.28 NFA 12.29 2.79 4.29 20.16 TD 10.14 24.91 1.91 25.36 TLF 15.84 9.93 22.58 59.14 Sou ce: Resea che s’ Compu a ion (2025) Capi al Adequacy Ra io (CAR) had a minimum and maximum alues o -10.19 and 30.37 indica ing ha selec ed banks expe ienced loss o p o i wi h highe CAR o 30.37. Deb o Equi y (DE) ep esen s he o al a he a e age eco ded 50.43 wi h minimum alue o 12.84 and 242.90 and his depic ed hose selec ed banks ha ing mo e o al asse s wi h la ges D/E in he indus y. CCE and NLP o he selec ed banks had a e age cash o 4.26 and 28.25 wo h o loan po olio wi h lowe alue o 3.51 and 8.21 o CCE and highe alue o 14.22 and 164.28. NFA and TD eco ded a e age o 12.29 and 10.14 wi h minimum and maximum alue o 4.29, 1.91, 20.16 and 25.36 indica ed ha he selec ed banks asse s and deposi yield posi i e ansac ion and las ly To al Long- e m unding (TLF) showed ha selec ed banks eco ded a e age o 15.84 wi h maximum o 59.14 mo e han he double o a e age eco ded by TLF, hus indica ing sound in es men o he selec ed bank long e m unds o in e media y’s ole by he banks in Nige ia. Table 5: Co ela ion Ma ix Selec ed Deposi Money Banks CAR CCE NLP NFA TD TLF D/E VIF 1/VIF CAR 1 1.23 0.69 CCE -0.03 1 2.32 0.51 NLP -0.35 -0.05 1 1.10 0.57 NFA 0.21 -0.09 -0.23 1 1.36 0.63 TD 0.16 -0.08 -0.34 -0.01 1 1.29 0.42 TLF -0.19 -0.27 -0.21 -0.7 -0.08 1 1.11 0.10 D/E 0.53 0.34 0.29 0.24 0.63 0.21 1 2.01 0.23 Sou ce: Resea che s’ Compu a ion (2025) In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 578 Table 5 depic ed co ela ion ma ix o posi i e and nega i e connec ion among s udy a iables such as CAR, D/E, CCE, NLP, NFA, TD and TLF. As none o he a iables we e up o 0.8, hus he e exis no mul icollinea i y p oblem among s udy a iables (Guja a i, 2004). Also, Va iance In la ion Fac o (VIF) and Tole ance depic ed ha he e exis s no mul icollinea i y p oblem among s udy a iables. Table 6: Reg ession and Pos -Es ima ion Resul s o Hypo hesis One Model o Hypo hesis One Fixed E ec Panel Reg ession Sys em Gene alised Momen Me hod (SGMM) Coe S d. E T- S a P ob Coe S d. E T-S a P ob Va iable Cons an 3.062 5.325 0.554 0.311 6.185 5.391 1.08 0.251 CCE 0.389 0.042 0.881 0.353 0.384 0.119 2.05 0.032 NLP - 0.078 0.349 - 2.720 0.002 -1.418 0.418 -5.16 0.001 NFA 0.367 0.234 4.172 0.029 0.193 0.129 4.95 0.045 TD 0.164 0.053 3.782 0.002 1.124 0.031 7.97 0.001 TLF 1.196 0.147 3.545 0.001 2.521 6.328 8.33 0.015 Adj.R2 0.429 F-S a F(5, 186) = 21.07 (0.00) O e all = 192 Ins umen s = 38.000 Hausman Tes Chi2(5) = 26.71 (0.00) O e all = 190.00 Tes pa m Tes (LM Tes ) F-s a = 5.17 (0.57) A ellano-Bond: AR(2) = 0.517 He e oskedas ici y Tes Chi2(1) = 25.27 (0.60) Hansen es (p- alue) = 0.153 Se ial Co ela ion Tes F-s a = 0.454 (0.53) Dependen Va iable: Capi al Adequacy Ra io (CAR) @5% Le el o Signi icance Sou ce: Resea che s’ Compila ion (2025) Due o Hausman and LM es s esul s o he panel model om Table 3 abo e, ixed e ec panel eg ession and GMM we e employed o es ima e he s udy panel model, he p obabili y alues e ealed ha : Cash and Cash Equi alen (CCE) had posi i e and insigni ican e ec on bank capi al adequacy (β = 0.389, -s a = 0.881, p>0.05); Ne Fixed Asse s (NFA) (β = 0.367, In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 579 -s a =4.172, p<0.05); To al Deposi (β = 0.164, -s a = 3.782, p<0.05); and To al Long-Te m Funding (TLF) (β = 1.196, -s a =3.545, p<0.05) all had posi i e and signi ican e ec on bank capi al adequacy while Ne Loan Po olio (NLP) (β = -0.078, -s a = -2.720, p<0.05) had nega i e and signi ican e ec on bank capi al adequacy in Nige ia. This indica ed ha as Cash and Cash Equi alen , Ne Fixed Asse s, To al Deposi and To al Long-Te m Funding inc ease, he e will be an inc ease in bank capi al adequacy while inc eased in Ne Loan Po olio caused d op in bank capi al adequacy o he selec ed banks. The Adjus ed R2 depic ed 0.429 (42.9%), which indica ed ha asse -liabili y managemen componen s o p oxies explained 42.9% changes in bank capi al adequacy o he selec ed banks. In a mul iple eg ession model, R-squa e may no be p e e able bu Adj.R2 well explained he explana o y a iables a iance in he dependen a iable. Likewise, he SGMM u he es ablished he obus ness e ec among s udy a iables. The SGMM es ablished ha Cash and Cash Equi alen (CCE) (β = 0.119, -s a =2.05, p<0.05), Ne Fixed Asse s (NFA) (β = 0.193, -s a =4.95, p<0.05), To al Deposi (β = 1.124, -s a = 7.97, p<0.05) and To al Long-Te m Funding (TLF) (β = 2.521, -s a =8.33, p<0.05) all had posi i e and signi ican e ec on bank CAR excep Ne Loan Po olio (NLP) (β = -1.418, -s a = - 5.16, p<0.05) wi h bank capi al adequacy. Thus, he s udy ejec ed null hypo hesis one; H01: Asse -liabili y managemen componen s ha e no signi ican in luence on bank capi al adequacy in Nige ia. The s udy u he analyzed hypo hesis wo which shown om he panel ixed e ec esul ha in e ac ion e ec o bank capi al mix wi h componen s o ass -labili y managemen had signi ican yield e ec on bank capi al adequacy o selec ed banks; as in e ac ion e ec o CCE*D/E, NFA*D/E, TD*D/E and TLF*D/E had posi i e and signi ican in luence on bank capi al adequacy while NLP*D/E had nega i e and signi ican e ec on bank capi al adequacy selec ed in Nige ia. This insinua es ha bank (D/E o capi al mix) had g ea and signi ican in e ac ion o bank capi al adequacy o selec ed DMBs in Nige ia since he p<0.05 and ha hose selec ed deposi money banks had sound capi al mix and asses-liabili ies s uc u e ha signi ican ly boos hei CAR. Fu he mo e, om Table 7 i was depic ed ha Adj.R2 = 72.9% which signi ied ha D/E as in e ac ion ac o o asse -liabili y managemen componen s (CCE, NLP, NFA, TD and TLF) widely explained CAR o selec ed DMBs. The di e ences in Adj.R2 be o e and a e mul iplica ion o bank capi al mix (D/E) as in e ac ion ac o s indica ed ha uly D/E o selec ed bank signi ican ly con ibu es o hei CAR. The F-s a = 103.46 (p< 0.05) indica ed In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 580 ha he s udy model was well i ed and ha explana o y a iables collec i ely and signi ican ly con ibu e o changes in explained a iables. Simila ly, he SGMM also e ealed ha bank capi al mix (D/E) as in e ac ion ac o (CCE*D/E, NFA*D/E, TD*D/E and TLF*D/E) had posi i e and signi ican in luence on bank CAR while NLP*D/E had nega i e and signi ican e ec on bank CAR o selec ed in Nige ia. This implies ha SGMM suppo ed he inding o ixed e ec panel eg ession, hus he s udy ejec ed null hypo hesis wo ha ; H02: D/E (Capi al Mix) does no signi ican ly in e ac be ween asse -liabili y managemen componen s and CAR o selec ed DMBs in Nige ia Table 7: Reg ession and Pos -Es ima ion Resul s o Hypo hesis Two Model o Hypo hesis Two Fixed E ec Panel Reg ession Sys em Gene alized Momen Me hod (SGMM) Coe S d. E T- S a P ob Coe S d. E T-S a P ob Va iable Cons an 1.732 1.195 1.014 0.221 6.295 5.822 1.08 0.284 CCE*D/E 1.299 0.289 6.902 0.031 1.014 0.834 7.25 0.001 NLP*D/E - 1.430 0.109 - 4.310 0.015 -0.387 0.213 -10.01 0.000 NFA*D/E 1.987 0.894 9.721 0.007 0.632 0.113 10.23 0.005 TD*D/E 0.946 0.053 5.122 0.018 1.166 0.042 7.97 0.001 TLF*D/E 1.030 0.979 8.285 0.000 2.433 7.438 8.33 0.015 Adj.R2 0.729 F-S a F (5, 186) = 103.46 (0.00) O e all = 192 Ins umen s = 42.000 Hausman Tes Chi2(5) = 59.36 (0.00) O e all = 190.00 Tes pa m Tes F-s a = 13.58 (0.89) A ellano-Bond: AR (2) = 0.930 (LM Tes ) He e oskedas ici y Tes Chi2(1) = 41.89 (0.90) Hansen es (p- alue) = 0.271 Se ial F-s a = 0.831 (0.69) Co ela ion Tes Dependen Va iable: Bank Capi al Adequacy Ra io (CAR) @5% Le el o Signi icance Sou ce: Resea che s’ Compu a ion (2025) In e na ional Jou nal o Social and Educa ional Inno a ion (IJSEI o) Volume 12/ Issue 23/ 2025 581 Pas ela ed s udies (Lysiak e al., 2022; Kasasbeh, 2021; Mugun, 2019; Nguyen, 2020; Ogbei un, & Akinola, 2020; Onaolapo & Adegoke, 2020; Owusu, & Alhassan, 2020; Sam yn, & Ismail, 2022; Si ain, 2022; Yuan, & Mi, 2022) suppo ed indings o hypo hesis one o his s udy ha asse -liabili y managemen a ec bank su i al. Also, inding e ealed ha bank capi al mix (D/E) signi ican ly in e ac s wi h bo h asse -liabili y componen s and bank CAR and o hypo hesis wo he e was close o non-exis ence discussed ela ed pas s udies (Abebe, 2022; D iss & Mohammed, 2017; Fakunmoju e al., 2022; Lysiak e al., 2022; Mugun, 2019; Ogbei un, & Akinola, 2020; Onaolapo & Adegoke, 2020; Owusu & Alhassan, 2020 among o he s) ha o mula ed hypo hesis wo aised in his s udy which se ed as gap iden i ied among pas s udies. Thus, null hypo hesis wo was ejec ed. Conclusion and Recommenda ions The s udy examined he ela ionship be ween he in e ac ion e ec o bank capi al mix (D/E) and asse -liabili y managemen componen s o p oxies on bank CAR among Nige ian deposi money ins i u ions. Bank capi al mix (D/E) s ongly in e ac s wi h asse -liabili y managemen componen s and bank CAR o selec ed banks in Nige ia, and asse -liabili y managemen componen s (CCE, NLP, NFA, TD, and TLF) conside ably a ec bank CAR, acco ding o he s udy's indings. Based on his conclusion, his s udy ecommended ha . (i) The op managemen o he selec ed bank should ca e ully handle CCE, NLP, NFA, TD, and TLF in acco dance wi h in e na ional banking s anda ds wi hou going agains he Cen al Bank o Nige ia's es ablished s a u o y equi emen s o gene a e long- e m p o i s. (ii) Bank CAR in Nige ia will imp o e i he Cen al Bank o Nige ia (CBN) imposes app op ia e sanc ions o he une hical ne loan po olio o a ious asse s in he banks ha did no adhe e o CBN egula o y egula ion ela ed asse o loan po olio. (iii) Acco ding o CBN egula o y egula ion, bank manage s should ake app op ia e s eps o ne ixed asse s o di e si ied asse po olios o p e en ying down ixed asse s and inc ease bank CAR. (i ) Bank manage s should buy mo e bank asse s, which will inc ease he bank's op imal capi al composi ion and di ec ly imp o e he bank's CAR in Nige ia. 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